# AutoTrain Dataset for project: dontknowwhatImdoing

## Dataset Descritpion

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

### 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
[
  {
    "text": "Gaston",
    "target": 1
  },
  {
    "text": "Churchundyr",
    "target": 0
  }
]
```

Note that, sadly, it flipped the boolean, using 1 for mundane and 0 for goblin.

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=2, names=['Goblin', 'Mundane'], 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        | 965 |
| valid        | 242 |

task_categories:text-classification language:en region:us
{"language": ["en"], "task_categories": ["text-classification"]}
TAGS
#task_categories-text-classification #language-English #region-us 

AutoTrain Dataset for project: dontknowwhatImdoing
==================================================


Dataset Descritpion
-------------------


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


### Languages


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


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


Note that, sadly, it flipped the boolean, using 1 for mundane and 0 for goblin.


### 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 en.


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


A sample from this dataset looks as follows:


Note that, sadly, it flipped the boolean, using 1 for mundane and 0 for goblin. ### 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-text-classification #language-English #region-us 
 ### Languages


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


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


A sample from this dataset looks as follows:


Note that, sadly, it flipped the boolean, using 1 for mundane and 0 for goblin. ### 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-text-classification #language-English #region-us 
### Languages


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


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


A sample from this dataset looks as follows:


Note that, sadly, it flipped the boolean, using 1 for mundane and 0 for goblin.### 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: