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kelm

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"
    }
}