# AutoTrain Dataset for project: severe-js100-sentiment

## Dataset Description

This dataset has been automatically processed by AutoTrain for project severe-js100-sentiment.

### Languages

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

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "text": "00:58 #\u0e2d\u0e38\u0e1a\u0e31\u0e15\u0e34\u0e40\u0e2b\u0e15\u0e38 #\u0e16\u0e19\u0e19\u0e1a\u0e32\u0e07\u0e1a\u0e2d\u0e193 \u0e0a\u0e48\u0e27\u0e07\u0e42\u0e23\u0e07\u0e40\u0e23\u0e35\u0e22\u0e19\u0e2a\u0e32\u0e23\u0e2a\u0e32\u0e2a\u0e19\u0e4c\u0e27\u0e34\u0e40\u0e17\u0e28\u0e1a\u0e32\u0e07\u0e1a\u0e2d\u0e19 &gt;\u0e42\u0e23\u0e07\u0e40\u0e23\u0e35\u0e22\u0e19\u0e01\u0e23\u0e1e\u0e34\u0e17\u0e31\u0e01\u0e29\u0e4c\u0e28\u0e36\u0e01\u0e29\u0e32 \u0e1b\u0e32\u0e01\u0e0b\u0e2d\u0e22\u0e1a\u0e32\u0e07\u0e1a\u0e2d\u0e193\u0e0b\u0e2d\u0e225 \u0e23\u0e16\u0e08\u0e31\u0e01\u0e23\u0e22\u0e32\u0e19\u0e22\u0e19\u0e15\u0e4c\u0e40\u0e2a\u0e35\u0e22\u0e2b\u0e25\u0e31\u0e01\u0e25\u0e49\u0e21 \u0e02\u0e27\u0e32\u0e07\u0e0a\u0e48\u0e2d\u0e07\u0e17\u0e32\u0e07\u0e0b\u0e49\u0e32\u0e22",
    "target": 2
  },
  {
    "text": "03:22 #\u0e2d\u0e38\u0e1a\u0e31\u0e15\u0e34\u0e40\u0e2b\u0e15\u0e38 #\u0e16\u0e19\u0e19\u0e01\u0e32\u0e0d\u0e08\u0e19\u0e32\u0e20\u0e34\u0e40\u0e29\u0e01 \u0e0a\u0e48\u0e27\u0e07\u0e2a\u0e30\u0e1e\u0e32\u0e19\u0e02\u0e49\u0e32\u0e21\u0e04\u0e25\u0e2d\u0e07\u0e20\u0e32\u0e29\u0e35\u0e40\u0e08\u0e23\u0e34\u0e0d &gt;\u0e41\u0e22\u0e01\u0e1a\u0e32\u0e07\u0e41\u0e27\u0e01 \u0e1a\u0e19\u0e15\u0e48\u0e32\u0e07\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e40\u0e1e\u0e0a\u0e23\u0e40\u0e01\u0e29\u0e21 \u0e23\u0e16\u0e1b\u0e34\u0e04\u0e2d\u0e31\u0e1e\u0e40\u0e2a\u0e35\u0e22\u0e2b\u0e25\u0e31\u0e01\u0e0a\u0e19\u0e02\u0e2d\u0e1a\u0e17\u0e32\u0e07 \u0e02\u0e27\u0e32\u0e07\u0e0a\u0e48\u0e2d\u0e07\u0e17\u0e32\u0e07\u0e0b\u0e49\u0e32\u0e22",
    "target": 2
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07', '\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07\u0e21\u0e32\u0e01', '\u0e44\u0e21\u0e48\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07'], 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        | 5348 |
| valid        | 1339 |

task_categories:text-classification region:us
{"task_categories": ["text-classification"]}
TAGS
#task_categories-text-classification #region-us 

AutoTrain Dataset for project: severe-js100-sentiment
=====================================================


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


This dataset has been automatically processed by AutoTrain for project severe-js100-sentiment.


### Languages


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


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 unk.


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 #region-us 
 ### Languages


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


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: