onestop_english

Riferimenti:

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

ds = tfds.load('huggingface:onestop_english')
  • Descrizione :
This dataset is a compilation of the OneStopEnglish corpus of texts written at three reading levels into one file.
Text documents are classified into three reading levels - ele, int, adv (Elementary, Intermediate and Advance).
This dataset demonstrates its usefulness for through two applica-tions - automatic  readability  assessment  and automatic text simplification.
The corpus consists of 189 texts, each in three versions/reading levels (567 in total).
  • Licenza : Licenza internazionale Creative Commons Attribuzione-Condividi allo stesso modo 4.0
  • Versione : 1.1.0
  • Divide :
Diviso Esempi
'train' 567
  • Caratteristiche :
{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "ele",
            "int",
            "adv"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}
,

Riferimenti:

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

ds = tfds.load('huggingface:onestop_english')
  • Descrizione :
This dataset is a compilation of the OneStopEnglish corpus of texts written at three reading levels into one file.
Text documents are classified into three reading levels - ele, int, adv (Elementary, Intermediate and Advance).
This dataset demonstrates its usefulness for through two applica-tions - automatic  readability  assessment  and automatic text simplification.
The corpus consists of 189 texts, each in three versions/reading levels (567 in total).
  • Licenza : Licenza internazionale Creative Commons Attribuzione-Condividi allo stesso modo 4.0
  • Versione : 1.1.0
  • Divide :
Diviso Esempi
'train' 567
  • Caratteristiche :
{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "ele",
            "int",
            "adv"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}