sylloge
This simple library aims to collect entity-alignment benchmark datasets and make them easily available.
Usage
Load benchmark datasets:
>>> from sylloge import OpenEA
>>> ds = OpenEA()
>>> ds
OpenEA(backend=pandas, graph_pair=D_W, size=15K, version=V1, rel_triples_left=38265, rel_triples_right=42746, attr_triples_left=52134, attr_triples_right=138246, ent_links=15000, folds=5)
>>> ds.rel_triples_right.head()
head relation tail
0 http://www.wikidata.org/entity/Q6176218 http://www.wikidata.org/entity/P27 http://www.wikidata.org/entity/Q145
1 http://www.wikidata.org/entity/Q212675 http://www.wikidata.org/entity/P161 http://www.wikidata.org/entity/Q446064
2 http://www.wikidata.org/entity/Q13512243 http://www.wikidata.org/entity/P840 http://www.wikidata.org/entity/Q84
3 http://www.wikidata.org/entity/Q2268591 http://www.wikidata.org/entity/P31 http://www.wikidata.org/entity/Q11424
4 http://www.wikidata.org/entity/Q11300470 http://www.wikidata.org/entity/P178 http://www.wikidata.org/entity/Q170420
>>> ds.attr_triples_left.head()
head relation tail
0 http://dbpedia.org/resource/E534644 http://dbpedia.org/ontology/imdbId 0044475
1 http://dbpedia.org/resource/E340590 http://dbpedia.org/ontology/runtime 6480.0^^<http://www.w3.org/2001/XMLSchema#double>
2 http://dbpedia.org/resource/E840454 http://dbpedia.org/ontology/activeYearsStartYear 1948^^<http://www.w3.org/2001/XMLSchema#gYear>
3 http://dbpedia.org/resource/E971710 http://purl.org/dc/elements/1.1/description English singer-songwriter
4 http://dbpedia.org/resource/E022831 http://dbpedia.org/ontology/militaryCommand Commandant of the Marine Corps
>>> ds.ent_links.head()
left right
0 http://dbpedia.org/resource/E123186 http://www.wikidata.org/entity/Q21197
1 http://dbpedia.org/resource/E228902 http://www.wikidata.org/entity/Q5909974
2 http://dbpedia.org/resource/E718575 http://www.wikidata.org/entity/Q707008
3 http://dbpedia.org/resource/E469216 http://www.wikidata.org/entity/Q1471945
4 http://dbpedia.org/resource/E649433 http://www.wikidata.org/entity/Q1198381
You can get a canonical name for a dataset instance to use e.g. to create folders to store experiment results:
>>> ds.canonical_name
'openea_d_w_15k_v1'
Create id-mapped dataset for embedding-based methods:
>>> from sylloge import IdMappedEADataset
>>> id_mapped_ds = IdMappedEADataset.from_ea_dataset(ds)
>>> id_mapped_ds
IdMappedEADataset(rel_triples_left=38265, rel_triples_right=42746, attr_triples_left=52134, attr_triples_right=138246, ent_links=15000, entity_mapping=30000, rel_mapping=417, attr_rel_mapping=990, attr_mapping=138836, folds=5)
>>> id_mapped_ds.rel_triples_right
[[26048 330 16880]
[19094 293 23348]
[16554 407 29192]
...
[16480 330 15109]
[18465 254 19956]
[26040 290 28560]]
You can use dask as backend for larger datasets:
>>> ds = OpenEA(backend="dask")
>>> ds
OpenEA(backend=dask, graph_pair=D_W, size=15K, version=V1, rel_triples_left=38265, rel_triples_right=42746, attr_triples_left=52134, attr_triples_right=138246, ent_links=15000, folds=5)
Which replaces pandas DataFrames with dask DataFrames.
Datasets can be written/read as parquet via to_parquet or read_parquet.
After the initial read datasets are cached using this format. The cache_path can be explicitly set and caching behaviour can be disable via use_cache=False, when initalizing a dataset.
Some datasets come with pre-determined splits:
tree ~/.data/sylloge/open_ea/cached/D_W_15K_V1
├── attr_triples_left_parquet
├── attr_triples_right_parquet
├── dataset_names.txt
├── ent_links_parquet
├── folds
│ ├── 1
│ │ ├── test_parquet
│ │ ├── train_parquet
│ │ └── val_parquet
│ ├── 2
│ │ ├── test_parquet
│ │ ├── train_parquet
│ │ └── val_parquet
│ ├── 3
│ │ ├── test_parquet
│ │ ├── train_parquet
│ │ └── val_parquet
│ ├── 4
│ │ ├── test_parquet
│ │ ├── train_parquet
│ │ └── val_parquet
│ └── 5
│ ├── test_parquet
│ ├── train_parquet
│ └── val_parquet
├── rel_triples_left_parquet
└── rel_triples_right_parquetsome don't:
tree ~/.data/sylloge/oaei/cached/starwars_swg
├── attr_triples_left_parquet
│ └── part.0.parquet
├── attr_triples_right_parquet
│ └── part.0.parquet
├── dataset_names.txt
├── ent_links_parquet
│ └── part.0.parquet
├── rel_triples_left_parquet
│ └── part.0.parquet
└── rel_triples_right_parquet
└── part.0.parquetInstallation
pip install sylloge Datasets
| Dataset family name | Year | # of Datasets | Sources | References |
|---|---|---|---|---|
| OpenEA | 2020 | 16 | DBpedia, Yago, Wikidata | Paper, Repo |
| MovieGraphBenchmark | 2022 | 3 | IMDB, TMDB, TheTVDB | Paper, Repo |
| OAEI | 2022 | 5 | Fandom wikis | Paper, Website |
