---
language:
- en
task_categories:
- text-classification

---
# AutoTrain Dataset for project: twitter-disaster-v2

## Dataset Description

This dataset has been automatically processed by AutoTrain for project twitter-disaster-v2.

### 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_id": 1,
    "feat_keyword": null,
    "feat_location": null,
    "text": "Our Deeds are the Reason of this #earthquake May ALLAH Forgive us all",
    "target": 1
  },
  {
    "feat_id": 4,
    "feat_keyword": null,
    "feat_location": null,
    "text": "Forest fire near La Ronge Sask. Canada",
    "target": 1
  }
]
```

### Dataset Fields

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

```json
{
  "feat_id": "Value(dtype='int64', id=None)",
  "feat_keyword": "Value(dtype='string', id=None)",
  "feat_location": "Value(dtype='string', id=None)",
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['0', '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        | 7613 |
| valid        | 0 |