# AutoTrain Dataset for project: lex-fin-sve

## Dataset Description

This dataset has been automatically processed by AutoTrain for project lex-fin-sve.

### 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
[
  {
    "source": "Veronsaajien oikeudenvalvontayksik\u00f6n valituksesta hallinto-oikeuden p\u00e4\u00e4t\u00f6s kumottiin ja luovutusvoiton verotus saatettiin voimaan.",
    "target": "P\u00e5 besv\u00e4r av Enheten f\u00f6r bevakning av skattetagarnas r\u00e4tt upph\u00e4vde h\u00f6gsta f\u00f6rvaltningsdomstolen f\u00f6rvaltningsdomstolens beslut och best\u00e4mde att den verkst\u00e4llda \u00f6verl\u00e5telsebeskattningen skulle s\u00e4ttas i kraft.",
    "feat_similarity": 0.9205572605133056,
    "feat_decision": "kho201500887.xml"
  },
  {
    "source": "Kunnanel\u00e4inl\u00e4\u00e4k\u00e4rin tuli viivytyksett\u00e4 arvioida, oliko m\u00e4\u00e4r\u00e4yksen voimassa pit\u00e4miselle edellytyksi\u00e4.",
    "target": "Kommunalveterin\u00e4ren skulle utan dr\u00f6jsm\u00e5l bed\u00f6ma huruvida det fanns f\u00f6ruts\u00e4ttningar f\u00f6r att f\u00f6rordnandet skulle f\u00f6rbli i kraft.",
    "feat_similarity": 0.9545820951461792,
    "feat_decision": "kho201303022.xml"
  }
]
```

### Dataset Fields

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

```json
{
  "source": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', id=None)",
  "feat_similarity": "Value(dtype='float64', id=None)",
  "feat_decision": "Value(dtype='string', 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        | 7878 |
| valid        | 1970 |

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

AutoTrain Dataset for project: lex-fin-sve
==========================================


Dataset Description
-------------------


This dataset has been automatically processed by AutoTrain for project lex-fin-sve.


### 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-translation #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-translation #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: