e2e_nlg_cleaned

Riferimenti:

• Codice
• Huggingface

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:e2e_nlg_cleaned')

• Descrizione :

An update release of E2E NLG Challenge data with cleaned MRs and scripts, accompanying the following paper:

Ondřej Dušek, David M. Howcroft, and Verena Rieser (2019): Semantic Noise Matters for Neural Natural Language Generation. In INLG, Tokyo, Japan.

• Licenza : nessuna licenza nota
• Versione : 0.0.0
• Spaccature :

• Caratteristiche :

{
    "meaning_representation": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "human_reference": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}