metadata

language:
  - en
task_categories:
  - text-classification

AutoTrain Dataset for project: osdg-sdg-classifier

Dataset Descritpion

This dataset has been pre-processed using standard python cleaning functions and further automatically processed by AutoTrain for project osdg-sdg-classifier.

Languages

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

Dataset Structure

Data Instances

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
  }
]

Dataset Fields

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)"
}

Dataset Splits

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

Split name	Num samples
train	14098
valid	3533