

# Dataset Card for aiornot

Dataset for the [aiornot competition](https://hf.co/spaces/competitions/aiornot). 

By accessing this dataset, you accept the rules of the AI or Not competition.
Please note that dataset may contain images which are not considered safe for work.

## Usage


### With Hugging Face Datasets 🤗
You can download and use this dataset using the `datasets` library.

📝 **Note:** You must be logged in to you Hugging Face account for the snippet below to work. You can do this with `huggingface-cli login` or `huggingface_hub.notebook_login` if you have the `huggingface_hub` python library installed (`pip install huggingface_hub`).

```python
from datasets import load_dataset

ds = load_dataset('competitions/aiornot')
```

### From Original Files

The original files and sample submission can be found in the `.extras` folder (under the files and versions tab of this repo). Feel free to download them and use them directly if you don't wish to use the `datasets` library.

task_categories:image-classification image-classification autotrain competitions region:us
{"task_categories": ["image-classification"], "tags": ["image-classification", "autotrain", "competitions"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int64"}]}}
TAGS
#task_categories-image-classification #image-classification #autotrain #competitions #region-us 



# Dataset Card for aiornot

Dataset for the aiornot competition. 

By accessing this dataset, you accept the rules of the AI or Not competition.
Please note that dataset may contain images which are not considered safe for work.

## Usage


### With Hugging Face Datasets 
You can download and use this dataset using the 'datasets' library.

 Note: You must be logged in to you Hugging Face account for the snippet below to work. You can do this with 'huggingface-cli login' or 'huggingface_hub.notebook_login' if you have the 'huggingface_hub' python library installed ('pip install huggingface_hub').



### From Original Files

The original files and sample submission can be found in the '.extras' folder (under the files and versions tab of this repo). Feel free to download them and use them directly if you don't wish to use the 'datasets' library.

# Dataset Card for aiornot

Dataset for the aiornot competition. 

By accessing this dataset, you accept the rules of the AI or Not competition.
Please note that dataset may contain images which are not considered safe for work. ## Usage ### With Hugging Face Datasets 
You can download and use this dataset using the 'datasets' library.

 Note: You must be logged in to you Hugging Face account for the snippet below to work. You can do this with 'huggingface-cli login' or 'huggingface_hub.notebook_login' if you have the 'huggingface_hub' python library installed ('pip install huggingface_hub'). ### From Original Files

The original files and sample submission can be found in the '.extras' folder (under the files and versions tab of this repo). Feel free to download them and use them directly if you don't wish to use the 'datasets' library.
TAGS
#task_categories-image-classification #image-classification #autotrain #competitions #region-us 
 # Dataset Card for aiornot

Dataset for the aiornot competition. 

By accessing this dataset, you accept the rules of the AI or Not competition.
Please note that dataset may contain images which are not considered safe for work. ## Usage ### With Hugging Face Datasets 
You can download and use this dataset using the 'datasets' library.

 Note: You must be logged in to you Hugging Face account for the snippet below to work. You can do this with 'huggingface-cli login' or 'huggingface_hub.notebook_login' if you have the 'huggingface_hub' python library installed ('pip install huggingface_hub'). ### From Original Files

The original files and sample submission can be found in the '.extras' folder (under the files and versions tab of this repo). Feel free to download them and use them directly if you don't wish to use the 'datasets' library.