Datasets:
Tasks:
Text Classification
Languages:
English
File size: 1,284 Bytes
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---
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:
```json
[
{
"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"):
```json
{
"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 |
|