References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kelm')
- Description:
Data-To-Text Generation involves converting knowledge graph (KG) triples of the form (subject, relation, object) into
a natural language sentence(s). This dataset consists of English KG data converted into paired natural language text.
The generated corpus consists of ∼18M sentences spanning ∼45M triples with ∼1500 distinct relations.
- License: No known license
- Version: 0.0.0
- Splits:
Split | Examples |
---|---|
'test' |
796493 |
'train' |
6371131 |
'validation' |
796471 |
- Features:
{
"triple": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}