{"abstract":"token permutations are treated as distinct documents.","category":"Dataset deduplication grouping","checks":6,"contract":"Return the number of distinct token sets. Token order and multiplicity do not matter.","contract_signature":"docs","evaluation_group":"dedup-token-set","failed_approach":"Sorting tokens preserves duplicate multiplicity and still splits set-equivalent documents.","family":"w3-dataset-deduplication-grouping-token-set-equivalence","id":"FA-100256","implementations":{"attempt":{"sha256":"ce6c1ca62bdd3f95437838e4519338da3b9e9312b0d6e038ad652d348c8319a8","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(docs):\n    return len({tuple(sorted(d)) for d in docs})\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\na='t'+str(N)\ncheck('permutation',solve([[a,'x'],['x',a]]),1)\ncheck('multiplicity ignored',solve([[a,a,'x'],[a,'x']]),1)\ncheck('different token',solve([[a],['x']]),2)\ncheck('empty documents',solve([[],[]]),1)\ncheck('empty corpus',solve([]),0)\ncheck('singleton',solve([[a]]),1)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"166e41cc8fdedb3584faef0ad8d9c9508f2a50d46b953c8ad2672b1e9b2bd191","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(docs):\n    return len({tuple(d) for d in docs})\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\na='t'+str(N)\ncheck('permutation',solve([[a,'x'],['x',a]]),1)\ncheck('multiplicity ignored',solve([[a,a,'x'],[a,'x']]),1)\ncheck('different token',solve([[a],['x']]),2)\ncheck('empty documents',solve([[],[]]),1)\ncheck('empty corpus',solve([]),0)\ncheck('singleton',solve([[a]]),1)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"Inputs are small in-memory fixtures with the stated contract; results do not claim production deduplication quality. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"w3-dataset-deduplication-grouping-token-set-equivalence","generated_at":"2026-09-30T16:48:33.560900+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"This deterministic toy operation makes one dataset equivalence or representative rule explicit.","root_cause":"The deduplication key is an ordered token sequence although the contract is set-based.","sha256":"36a522dba8449029e58e56ffda4e648ed77aacd6e3bde7dd2893581aed7c30e0","title":"Dataset deduplication: token permutations are treated as distinct documents · case 01","variant":1,"variant_policy":"The fixture code references N, supplied as 1 through 5. Fixed boundary checks may repeat. These records share one mechanism and must remain together in evaluation splits.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":28.999,"exit_code":1,"observations":[{"actual":1,"check":"permutation","expected":1,"passed":true},{"actual":2,"check":"multiplicity ignored","expected":1,"passed":false},{"actual":2,"check":"different token","expected":2,"passed":true},{"actual":1,"check":"empty documents","expected":1,"passed":true},{"actual":0,"check":"empty corpus","expected":0,"passed":true},{"actual":1,"check":"singleton","expected":1,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"permutation\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"multiplicity ignored\", \"actual\": 2, \"expected\": 1, \"passed\": false}, {\"check\": \"different token\", \"actual\": 2, \"expected\": 2, \"passed\": true}, {\"check\": \"empty documents\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"empty corpus\", \"actual\": 0, \"expected\": 0, \"passed\": true}, {\"check\": \"singleton\", \"actual\": 1, \"expected\": 1, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":30.92,"exit_code":1,"observations":[{"actual":2,"check":"permutation","expected":1,"passed":false},{"actual":2,"check":"multiplicity ignored","expected":1,"passed":false},{"actual":2,"check":"different token","expected":2,"passed":true},{"actual":1,"check":"empty documents","expected":1,"passed":true},{"actual":0,"check":"empty corpus","expected":0,"passed":true},{"actual":1,"check":"singleton","expected":1,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"permutation\", \"actual\": 2, \"expected\": 1, \"passed\": false}, {\"check\": \"multiplicity ignored\", \"actual\": 2, \"expected\": 1, \"passed\": false}, {\"check\": \"different token\", \"actual\": 2, \"expected\": 2, \"passed\": true}, {\"check\": \"empty documents\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"empty corpus\", \"actual\": 0, \"expected\": 0, \"passed\": true}, {\"check\": \"singleton\", \"actual\": 1, \"expected\": 1, \"passed\": true}], \"passed\": false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}