task_categories:summarization language:en region:us
---
language:
- en
task_categories:
- summarization

---
# AutoTrain Dataset for project: finetuning

## Dataset Description

This dataset has been automatically processed by AutoTrain for project finetuning.

### 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
[
  {
    "feat_Chapter": "Chapter IV",
    "text": "78",
    "feat_Description": "Act done pursuant to the judgment or order of the court.",
    "target": "Nothing which is done in pursuance of, or which is warranted by the judgment or order of, a Court of Justice, if done whilst such judgment or order remains in force, is an offence, notwithstanding the Court may have had no jurisdiction to pass such judgment or order, provided the person doing the act in good faith believes that the Court had such jurisdiction.",
    "feat_Unnamed: 4": null,
    "feat_Unnamed: 5": null
  },
  {
    "feat_Chapter": "Chapter 16",
    "text": "SECTION 341",
    "feat_Description": "Punishment for wrongful restraint",
    "target": "This section specifies the punishment for wrongful restraint. The penalty varies depending on the degree of restraint and the circumstances surrounding the offense.",
    "feat_Unnamed: 4": null,
    "feat_Unnamed: 5": null
  }
]
```

### Dataset Fields

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

```json
{
  "feat_Chapter": "Value(dtype='string', id=None)",
  "text": "Value(dtype='string', id=None)",
  "feat_Description": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', id=None)",
  "feat_Unnamed: 4": "Value(dtype='string', id=None)",
  "feat_Unnamed: 5": "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        | 389 |
| valid        | 98 |
