File size: 2,053 Bytes
da5c716 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
task_categories:
- text-classification
---
# AutoNLP Dataset for project: alberti-stanzas-finetuning
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#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 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 name | Num samples |
| ------------ | ------------------- |
| train | 4004 |
| valid | 1001 |
|