task_categories: | |
- text-classification | |
# AutoTrain Dataset for project: bert-base-uncased | |
## Dataset Description | |
This dataset has been automatically processed by AutoTrain for project bert-base-uncased. | |
### 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": "well it's clear now why europeans can't differ niggers and shitskins from human", | |
"target": 0 | |
}, | |
{ | |
"text": "These boys will then grow up with people making fun of them and they will then hate their parents for ruining their lives.", | |
"target": 1 | |
} | |
] | |
``` | |
### Dataset Fields | |
The dataset has the following fields (also called "features"): | |
```json | |
{ | |
"text": "Value(dtype='string', id=None)", | |
"target": "ClassLabel(names=['hate_speech', 'no_hate_speech'], 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 | 798 | | |
| valid | 200 | | |