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alvp/autonlp-data-alberti-stanzas-finetuning

AutoNLP Dataset for project: alberti-stanzas-finetuning Table of content Dataset Description Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Descritpion This dataset has been automatically processed by AutoNLP for project alberti-stanzas-finetuning. Languages The BCP-47 code for the dataset's language is unk. Dataset Structure Data Instances A sample from this dataset… See the full description on the dataset page: https://huggingface.co/datasets/alvp/autonlp-data-alberti-stanzas-finetuning.

sourceHugging Faceupdated 5y agoView on Hugging Face
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AutoNLP Dataset for project: alberti-stanzas-finetuning

Table of content

Dataset Descritpion

This dataset has been automatically processed by AutoNLP for project alberti-stanzas-finetuning.

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

json
[
  {
    "text": "No es la ciudad inmunda \nquien empuja las velas. Tampoco el coraz\u00f3n, \nprimitiva caba\u00f1a del deseo, \nse aventura por islas encendidas \nen donde el mar oculta sus ruinas, \nalgas de Baudelaire, espumas y silencios. \nEs la necesidad, la solitaria \nnecesidad de un hombre, \nquien nos lleva a cubierta, \nquien nos hace temblar, vivir en cuerpos \nque resisten la voz de las sirenas, \namarrados en proa, \ncon el tim\u00f3n gimiendo entre las manos.",
    "target": 40
  },
  {
    "text": "Ni mueve m\u00e1s ligera,\nni m\u00e1s igual divide por derecha\nel aire, y fiel carrera,\no la traciana flecha\no la bola tudesca un fuego hecha.",
    "target": 11
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

json
{
  "target": "ClassLabel(num_classes=46, names=['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '5', '6', '7', '8', '9'], names_file=None, id=None)",
  "text": "Value(dtype='string', id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split nameNum samples
train4004
valid1001