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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _indexes
dict | _output_all_columns
bool | _split
null |
---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | 8ba5734c8fb1b57c | [
"target",
"text"
] | {} | null | {} | false | null |
AutoNLP Dataset for project: pruebapoems
Dataset Descritpion
This dataset has been automatically processed by AutoNLP for project pruebapoems.
Languages
The BCP-47 code for the dataset's language is es.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": "When I was fair and young, then favor graced me.\r\nOf many was I sought their mistress for to be.\r\nBu[...]",
"target": 1
},
{
"text": "Sigh no more, ladies, sigh no more.\r\n Men were deceivers ever,\r\nOne foot in sea, and one on shore[...]",
"target": 0
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=3, names=['Love', 'Mythology & Folklore', 'Nature'], 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 | 457 |
valid | 116 |
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