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---
task_categories:
- token-classification
---
# AutoTrain Dataset for project: bert-political-statements-and-questions-swedish-ner
## Dataset Description
This dataset has been automatically processed by AutoTrain for project bert-political-statements-and-questions-swedish-ner.
### 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
[
{
"tokens": [
"KD",
"ska",
"f\u00f6rhandla",
"v\u00e5rbudget",
"med",
"Milj\u00f6partiet"
],
"tags": [
1,
6,
6,
6,
6,
1
]
},
{
"tokens": [
"V\u00e4nsterpartiet",
"ska",
"diskutera",
"h\u00f6stbudget",
"med",
"Sverigedemokraterna"
],
"tags": [
1,
6,
6,
6,
6,
1
]
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
"tags": "Sequence(feature=ClassLabel(names=['B-LOC', 'B-ORG', 'B-PER', 'I-LOC', 'I-ORG', 'I-PER', 'UNK'], id=None), length=-1, 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 | 3147 |
| valid | 821 |
|