Datasets:
File size: 3,378 Bytes
25a3f03 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 |
# YAGO 4.5 Dataset (English subset for LLM fine-tuning)
## Dataset Description
This datasets contains triples filtered from yago-facts.ttl and
yago-beyond-wikipedia.ttl in the YAGO 4.5 dataset. The SPARQL query
used to filter the triples is in `raw/filter.sparql`. This represents
a subset of the YAGO 4.5 dataset maintaining only English labels.
I remapped some schema.org URIs to use the
`http://yago-knowledge.org/resource/` which were not present in the
schema.org vocabulary. I also removed schema:sameAs and owl:sameAs
relations from this dataset, as well as triples with xsd:anyURI object
literals, as my goal is to use this dataset for fine-tuning a large
language model for knowledge graph completion and I do not want
to train the base model to predict these kind of relations.
### Overview
YAGO 4.5 is the latest version of the YAGO knowledge base. It is
based on Wikidata — the largest public general-purpose knowledge
base. YAGO refines the data as follows:
* All entity identifiers and property identifiers are human-readable.
* The top-level classes come from schema.org — a standard repertoire
of classes and properties maintained by Google and others. The lower
level classes are a careful selection of the Wikidata taxonomy.
* The properties come from schema.org.
* YAGO 4.5 contains semantic constraints in the form of SHACL. These
constraints keep the data clean, and allow for logical reasoning on
YAGO.
### Dataset Structure
The dataset is structured as follows:
- **raw/yago-taxonomy.ttl:** Contains the `rdfs:subClassOf` relations
for YAGO and the prefix mappings for the N-Triples.
- **raw/facts.tar.gz:** Compressed file containing chunks of the
dataset in N-Triples format, representing the factual knowledge in
YAGO.
### Features
Each RDF triple in the dataset is represented with the following features:
- **subject:** The subject of the triple, representing the entity.
- **predicate:** The predicate of the triple, representing the
relationship between the subject and object.
- **object:** The object of the triple, representing the entity or
value linked by the predicate.
### Splits
The dataset is logically divided into multiple chunks, each containing
a subset of RDF triples. Users can load specific chunks or the entire
dataset based on their requirements.
## Usage
### Loading the Dataset
The dataset can be loaded using the Hugging Face `datasets` library as follows:
```python
from datasets import load_dataset
dataset = load_dataset('wikipunk/yago-4.5-en', num_proc=4)
```
### Accessing the YAGO Taxonomy File
The `yago-taxonomy.ttl` file can be accessed and loaded in every process as follows:
```python
from rdflib import Graph
taxonomy_graph = Graph()
taxonomy_graph.parse('raw/yago-taxonomy.ttl', format='turtle')
```
## Additional Information
### Licensing
The YAGO 4.5 dataset is available under the [Creative Commons Attribution-ShareAlike 3.0 license](https://creativecommons.org/licenses/by-sa/3.0/).
### Citation
If you use the YAGO 4.5 dataset in your work, please cite the
following publication:
```bibtex
@article{suchanek2023integrating,
title={Integrating the Wikidata Taxonomy into YAGO},
author={Suchanek, Fabian M and Alam, Mehwish and Bonald, Thomas and Paris, Pierre-Henri and Soria, Jules},
journal={arXiv preprint arXiv:2308.11884},
year={2023}
}
```
|