Datasets:

yesun
/

RuleDepData

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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.

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

Downloads last month: 14

Total file size:

3.27 GB

Contents

Usage

Dataset Statistics