task_categories:text-classification language:it region:us
---
language:
- it
task_categories:
- text-classification

---
# AutoTrain Dataset for project: pe-llm-0.6

## Dataset Description

This dataset has been automatically processed by AutoTrain for project pe-llm-0.6.

### Languages

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

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "feat_id": null,
    "text": "di non necessitare che informazioni di identificazione personale siano utilizzate in connessione ai Contenuti, lavori derivati o aggiornamenti degli stessi",
    "target": 6,
    "feat_check": null
  },
  {
    "feat_id": null,
    "text": "Terravision Lonot relevanton Finance ltd",
    "target": 10,
    "feat_check": null
  }
]
```

### Dataset Fields

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

```json
{
  "feat_id": "Value(dtype='float64', id=None)",
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['ID', 'M&A', 'acceptance', 'competence', 'data protection', 'date', 'intellectual property', 'liability', 'license', 'object', 'party', 'remedy', 'term', 'termination', 'warranty'], id=None)",
  "feat_check": "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        | 2159 |
| valid        | 548 |
