# AutoTrain Dataset for project: bhaav-sentiment

## Dataset Description

This dataset has been automatically processed by AutoTrain for project bhaav-sentiment.

### 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": "\u0914\u0930 \u0926\u094b\u0928\u094b\u0902 \u091f\u0940\u0932\u0947 \u0915\u0947 \u0905\u0932\u0917 \u0905\u0932\u0917 \u0915\u094b\u0928\u0947 \u092e\u0947\u0902 \u091c\u093e \u092a\u0939\u0941\u0902\u091a\u0947",
    "target": 3
  },
  {
    "text": "\u0909\u0938\u0915\u0947 \u092e\u0941\u0901\u0939 \u0938\u0947 \u090f\u0915 \u091a\u0940\u0916 \u0928\u093f\u0915\u0932 \u0917\u092f\u0940",
    "target": 2
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['0', '1', '2', '3', '4'], 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        | 16241 |
| valid        | 4063 |

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: bhaav-sentiment
==============================================


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


This dataset has been automatically processed by AutoTrain for project bhaav-sentiment.


### Languages


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


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 en.


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-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: ### 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:### 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: