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---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: rottentomato
## Dataset Description
This dataset has been automatically processed by AutoTrain for project rottentomato.
### 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": "too much of storytelling moves away from solondz's social critique , casting its audience as that of intellectual lector in contemplation of the auteur's professional injuries .",
"target": 1
},
{
"text": "what the audience feels is exhaustion , from watching a movie that is dark ( dark green , to be exact ) , sour , bloody and mean .",
"target": 0
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['neg', 'pos'], 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 | 852 |
| valid | 214 |
|