--- pretty_name: RuleDep-ICDE2027 Data Artifacts language: - en task_categories: - graph-ml - feature-extraction tags: - knowledge-graph-completion - link-prediction - rule-learning - rule-application - rule-dependency - reproducibility --- This dataset package provides the data artifacts used by **RuleDep-ICDE2027**. It includes six datasets: - `KG20C` - `WN18RR` - `codex-m` - `FB15k-237` - `codex-l` - `YAGO3-10` Hetionet is used in the paper but is not included here because its processed artifacts are too large. It can be regenerated from the raw Hetionet graph using the scripts in the RuleDep repository. ## Contents Each dataset directory contains the original train/valid/test split and preprocessed files generated by `analyse.sh`, together with Step 1-4 artifacts used by the RuleDep pipeline: - rule-learning outputs under `rules/` - rule-application outputs under `application/` - processed relation-level training data under `datasets/` - dependency-mining outputs under `rules/` This archive does not include final aggregation outputs, final prediction scores, learned aggregation weights, or final evaluation results, which can be regenerated by running `step5_aggregation.sh` ## Usage Download `data.tar.xz` and extract it into the root directory of the RuleDep project: `tar -xJf data.tar.xz` After extraction, the project should contain: ``` RuleDep/ data/ KG20C/ WN18RR/ codex-m/ FB15k-237/ codex-l/ YAGO3-10/ ``` Then downstream stages can be run from the RuleDep project root, for example: ``` ./step5_aggregation.sh FB15k-237 ``` The archive is intended to avoid rerunning the expensive rule learning, rule application, dataset construction stages when reproducing or extending the experiments. ## Dataset Statistics The following statistics are from the RuleDep-ICDE2027 paper. `#Rule` and `#Dep` denote the retained rule and dependency terms used by the aggregation pipeline. |Dataset|Entity|Rel.|Train|Valid|Test|#Rule|#Dep| |---|---|---|---|---|---|---|---| |KG20C|16,362|5|48,213|3,670|3,724|154,790|168,315| |WN18RR|40,943|11|86,835|3,034|3,134|76,909|45,212| |codex-m|17,050|51|185,584|10,310|10,311|518,279|883,207| |FB15k-237|14,541|237|272,115|17,535|20,466|1,737,378|3,946,389| |codex-l|77,951|69|551,193|30,622|30,622|273,472|455,330| |YAGO3-10|123,182|37|1,079,040|5,000|5,000|990,481|1,707,159| |Hetionet|45,158|24|1,800,157|225,020|225,020|6,103,910|7,154,604|