jonas/sdg_classifier_osdg
Text Classification
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Updated
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34
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7
Error code: UnexpectedError
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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"
}
] | 88e1673f1ec1a2fb | [
"target",
"text"
] | {} | null | {} | false | null |
This dataset has been pre-processed using standard python cleaning functions and further automatically processed by AutoTrain for project osdg-sdg-classifier.
The BCP-47 code for the dataset's language is en.
A sample from this dataset looks as follows:
[
{
"text": "teams of technical experts elaborate and validate these plans in collaboration with the local commun[...]",
"target": 14
},
{
"text": "yet commitments to promote the cohesion of families cannot be seen in isolation from two critical el[...]",
"target": 10
}
]
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=15, names=['1', '10', '11', '12', '13', '14', '15', '2', '3', '4', '5', '6', '7', '8', '9'], id=None)"
}
This dataset is split into a train and validation split. The split sizes are as follow:
Split name | Num samples |
---|---|
train | 14098 |
valid | 3533 |