| ---
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| license: apache-2.0
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| task_categories:
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| - graph-machine-learning
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| - relational-databases
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| - knowledge-graphs
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| tags:
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| - database-integrity
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| - automated-reasoning
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| - first-order-logic
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| - craig-interpolation
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| - formal-verification
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| - sigmod-reproducibility
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| size_categories:
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| - 10GB<n<100GB
|
| ---
|
|
|
| # UpdateGuard Benchmark Suite (Anonymized Submission)
|
|
|
| This repository contains the complete cross-paradigm benchmark suites, schemas, constraints, and data instances for **UpdateGuard**, an automated first-order theorem proving and Craig interpolation framework for database integrity verification.
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|
|
| ## Repository Contents
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|
|
| The repository is modularly structured into tier-based packages:
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|
|
| ### 1. Constraints Suite (`constraints.zip` ~0.5 MB)
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| Contains all integrity constraints evaluated across the three paradigms:
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| - **Property Graphs:** Mined and hand-crafted Graph Generating Dependencies (GGDs) for **CORDIS**, **DBLP**, **GDELT**, and **LDBC SNB**, alongside property-level constraints: Graph Object Functional Dependencies (GO-FDs) for **Northwind**, graph functional/uniqueness dependencies (gFDs/gUCs) for **Offshore Leaks**, and graph functional dependencies and keys for **London Public Transport (LPT)** and **Train Services (TS)**.
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| - **RDF Knowledge Graphs:** W3C SHACL shape schemas and OWL ontologies for **LUBM** and **WatDiv**.
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| - **Relational Schemas:** Relational dependencies (foreign keys, uniqueness EGDs, check constraints) for **TPC-H** and all **ChaseBench** scenarios (`doctors`, `doctors-fd`, `LUBM`, `Ontology-256`, `STB-128`, `deep`, and `correctness` suites).
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|
|
| ### 2. Standard Evaluation Benchmarks (`graph_benchmarks.zip`, `rdf_benchmarks.zip`, `relational_benchmarks.zip`)
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| - **Property Graphs (`graph_benchmarks.zip`):** Ready-to-evaluate node and edge CSV files for Neo4j and localized r-hop neighborhood extraction (`cordis_small`, `dblp_small`, `gdelt_small`, `ldbc_small_*`, `northwind`, `offshore_small`, `lpt`, `trains`).
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| - **RDF Knowledge Graphs (`rdf_benchmarks.zip`):** LUBM multi-university instances (1 to 15 universities in OWL/RDF), WatDiv 100k triple sample (`watdiv_100k.nt`), and UBA synthetic data generator.
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| - **Relational Databases (`relational_benchmarks.zip`):** ChaseBench relational scenarios with tables, schemas, queries, and repair tools, alongside TPC-H decision-support tables at scale factors 0.01 to 0.1.
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|
|
| ### 3. Full-Scale Datasets (Optional, for heavy data scaling)
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| - `ldbc_scales.zip`: LDBC SNB SF 1 and SF 3 instances.
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| - `watdiv_10m.zip`: WatDiv full 10M triples dataset (`watdiv.10M.nt`).
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| - `dblp_raw.zip`: Complete DBLP publication XML database (`dblp.xml`, `dblp.dtd`).
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| - `tpch_scales.zip`: TPC-H tables at SF 0.3, SF 1, SF 3, and SF 10.
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|
|
| ---
|
|
|
| ## Quick Download & Setup
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|
|
| You can download and extract these datasets directly into the codebase using the automated downloader script:
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|
|
| ```bash
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| # Download standard evaluation bundle (constraints + benchmark datasets):
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| python scripts/download_benchmarks.py
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|
|
| # Download only constraints (ultra-lightweight, ~300 KB):
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| python scripts/download_benchmarks.py --constraints-only
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|
|
| # Download specific datasets:
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| python scripts/download_benchmarks.py --dataset ldbc cordis
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| ```
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|
|
| All archives extract into the `datasets/` root directory, maintaining the exact folder paths expected by the evaluation pipelines (`run_all_benchmarks.py`, `run_eval.sh`, `run_chasebench_eval.sh`, and `run_lubm_scaling.sh`).
|
|
|
| ---
|
|
|
| ## Double-Blind Anonymity Compliance
|
| This repository and its contents are fully anonymized for double-blind peer review. All local paths, personal metadata, and author identifications have been scrubbed in accordance with SIGMOD review guidelines.
|
| |
