RealMapBench

RealMapBench evaluates tool-augmented agents on real-world map service tasks. The paper reports experiments on the full 98-case research benchmark. This repository currently provides an initial 72-case public subset, revision realmapbench-v1-public-72-r2, with reference answers, rubrics, and a scorer.

Release Scope

The 26 Mobility and Footfall (MF) cases are not included in the current public release. Their questions, reference answers, and rubric contracts are withheld. They may be included in a future revision; no release date is committed.

The paper's results refer to the full 98-case research benchmark. They are not scores on this 72-case public subset, and the current public package does not reproduce the paper's complete evaluation. Original case IDs and prompts are retained for the 72 published cases.

Longitude and latitude values have been removed from the published reference answers and rubric contracts. Five coordinate-dependent criteria have also been removed: two quality criteria in RMB-SA-011 and three required criteria in RMB-SA-014. These two public contracts score the remaining numeric counts only; grid identities, boundaries, locations, and location-based tie completeness are not evaluated. The corresponding human-readable rubrics describe this reduced scoring scope. This revision contains 329 criteria (263 required and 66 quality).

Report evaluations with this public revision and a 72-case denominator. Scores must be computed with the published contracts; neither the paper's aggregate scores nor its per-case scores can simply be relabeled as public subset results. Any future additions or restored scoring criteria will be published under a new revision.

中文说明：论文实验使用完整的98道题；本仓库当前公开其中72道题。 26道MF（人流与客流）题目及其答案、评分规则未纳入当前公开版本。 当前公开版本已移除参考答案和评分规则中的经纬度数值，并撤下SA-011、SA-014中依赖坐标的评分项。 因此，本公开子集及其评分范围与论文完整实验不同，不能直接用于复现论文的98题结果。

Revision realmapbench-v1-public-72-r2 minimizes 18 reference answers and corrects stale scoring descriptions without changing questions, numeric expected values, criterion membership, weights, or tolerances. Reference text is part of the judge input, so evaluations must identify this revision and must not reuse verdicts from the earlier revision. See Data Scope for the inventory and cleanup details.

Release Contents

• data/realmapbench-v1.json: 72 questions with task annotations, rubrics, and rubric contracts.
• data/realmapbench-v1.truth.json: one reviewed frozen truth snapshot per question.
• data/realmapbench-v1.manifest.json: file, case, rubric, and truth hashes, plus scorer versions.
• src/realmapbench/scoring/direct.py: the direct scoring contract and score aggregation logic.
• scripts/score.py: a model-neutral interface for preparing judge requests and aggregating criterion verdicts.
• scripts/validate.py: release consistency validation.
• docs/reproducibility.md: the public scoring and experiment-integrity protocol.
• docs/data-scope.md: data inventory and publication scope.

No execution traces or experiment results are included in this repository. They are outside the scope of the current public release.

Tasks

The current public subset covers five task types and three difficulty levels.

Task type	Code	Cases
Place lookup	PL	6
Nearby search	NS	16
Route and distance	RD	9
Business analysis	BA	22
Spatial analysis	SA	19

Difficulty distribution: 24 simple, 43 medium, and 5 hard cases.

Public case IDs use the form RMB-{task-type code}-{sequence}, such as RMB-PL-001.

Data Contract

Each case contains a natural-language question, task annotations, a human-readable rubric, a machine-readable rubric contract, and a reference to its frozen public truth snapshot. The coordinate-redacted reference answers are kept in the sidecar so they can be versioned independently. A rubric contract may repeat only the expected fields needed to score its published criteria. Coordinate redactions in narrative answers are explicitly marked.

{
  "id": "RMB-PL-001",
  "prompt": "...",
  "metadata": {
    "task_type": "place_lookup",
    "difficulty": "simple"
  },
  "rubric": {
    "goal": "...",
    "criteria": []
  },
  "rubric_contract": {
    "version": "rubric_contract.v1",
    "pass_policy": "all_required",
    "score_policy": "weighted_mean",
    "criteria": [],
    "expected": {}
  },
  "truth": {
    "mode": "snapshot",
    "snapshot_id": "truth-realmapbench-v1-public-72-r2/RMB-PL-001"
  }
}

Direct Scoring

The primary metric is direct_task_pass, implemented by rubric_contract_direct_v8.

The scorer presents the question, frozen truth, complete rubric contract, the agent's final answer, and optional publication-safe evidence to a rubric-contract judge. Raw execution traces are neither required nor included in this release. The judge must assign one pass or fail verdict to every criterion. A case passes only when all required criteria pass. Quality criteria contribute to the weighted score but cannot override a failed required criterion.

Missing, incomplete, ambiguous, or unsupported claims fail the affected criterion. Invalid contracts, unavailable truth, malformed judge responses, and judge transport failures must be reported as scoring errors rather than ordinary task failures.

The repository does not bind scoring to one model vendor. Prepare the complete judge request, submit its system and prompt fields to the judge model, and then aggregate the returned criterion verdicts:

uv sync

uv run python scripts/score.py prepare \
  --case-id RMB-PL-001 \
  --answer-file answer.txt \
  --output judge-request.json

uv run python scripts/score.py aggregate \
  --case-id RMB-PL-001 \
  --judge-response judge-response.json \
  --output score.json

The expected judge response is:

{
  "criteria": [
    {
      "id": "required.example",
      "verdict": "pass",
      "reason": "brief reason",
      "evidence": ["short evidence from the final answer"]
    }
  ]
}

Validation

Validate the published dataset, truth sidecar, rubrics, hashes, and scorer versions:

uv run python scripts/validate.py
uv run pytest -q

After a data or truth update, rebuild the integrity manifest and validate again:

uv run python scripts/build_manifest.py
uv run python scripts/validate.py