# 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 |

task_categories:token-classification region:us
{"task_categories": ["token-classification"]}
TAGS
#task_categories-token-classification #region-us 

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:


### Dataset Fields


The dataset has the following fields (also called "features"):


### Dataset Splits


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




### Languages


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


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#task_categories-token-classification #region-us 
 ### Languages


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


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#task_categories-token-classification #region-us 
### Languages


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


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


The dataset has the following fields (also called "features"):### Dataset Splits


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