FA-97881 / Dataset split isolation / Open access
Dataset split: session side lookup uses the date instead of the session · case 01
session side lookup uses the date instead of the session.
ROOT CAUSE
The implementation looks up each row’s date in a map whose keys are session IDs, so the session’s assigned side is ignored.
THE FAILURE
The implementation looks up each row’s date in a map whose keys are session IDs, so the session’s assigned side is ignored.
Unsuccessful approach: Using a date as the ownership key would still split one session across dates.
Case contract
Rows [id,session,date]. Return IDs belonging to sessions mapped to train; dates do not affect ownership.
Why this case matters
This toy split allocator makes membership rules explicit for reproducible evaluation fixtures.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(rows, sides):
return sorted(i for i,s,d in rows if sides.get(d)=='train')
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('cross date session',solve([['a','s','d1'],['b','s','d2']],{'s':'train'}),['a','b'])
check('validation session',solve([['a','v','d1']],{'v':'validation'}),[])
check('unknown session',solve([['a','u','train']],{}),[])
check('empty',solve([],{}),[])
check('date cannot override',solve([['a','s','holdout']],{'s':'train'}),['a'])
check('multiple sessions',solve([['a','s','x'],['b','t','x']],{'s':'train','t':'validation'}),['a'])
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| cross date session | [] | ['a', 'b'] | Failed |
| validation session | [] | [] | Passed |
| unknown session | [] | [] | Passed |
| empty | [] | [] | Passed |
| date cannot override | [] | ['a'] | Failed |
| multiple sessions | [] | ['a'] | Failed |
SHA-256 / 68f44fd22fb55c525618b7647666c2e39dbcce5c7d65ca5c43827d347bef6114
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(rows, sides):
return sorted(i for i,s,d in rows if sides.get(s,'validation')=='train' and d!='holdout')
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('cross date session',solve([['a','s','d1'],['b','s','d2']],{'s':'train'}),['a','b'])
check('validation session',solve([['a','v','d1']],{'v':'validation'}),[])
check('unknown session',solve([['a','u','train']],{}),[])
check('empty',solve([],{}),[])
check('date cannot override',solve([['a','s','holdout']],{'s':'train'}),['a'])
check('multiple sessions',solve([['a','s','x'],['b','t','x']],{'s':'train','t':'validation'}),['a'])
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| cross date session | ['a', 'b'] | ['a', 'b'] | Passed |
| validation session | [] | [] | Passed |
| unknown session | [] | [] | Passed |
| empty | [] | [] | Passed |
| date cannot override | [] | ['a'] | Failed |
| multiple sessions | ['a'] | ['a'] | Passed |
SHA-256 / 56b68435bc3764aed3005b450a156e9709a797540584036dbffcaa51eba9dccd
HELD IN THE MEMBER ARCHIVE
The verified repair and its recorded checks are member-only.
This mechanism has 6 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.
Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.
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Sign in to the archive ↗Verification & scope
Inputs are small in-memory records with self-contained contracts; no claim is made about production sampling 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.
Observations recorded using Python 3.12.14 at 2026-09-30T16:48:07.117919+00:00.
Case digest / 4e350dd048ffb10a39309c0de1c69c75f3822a49c2e7ea8d50cc43f9c0f79863