README.md

---
license: apache-2.0
task_categories:
- text-classification
language:
- en
tags:
- advertising
pretty_name: DAC693k
size_categories:
- 100K<n<1M
---

# DAC693k

## Description

This dataset, named "DAC693k," is designed for ad targeting in a multi-class classification setting. It consists of two main columns: "domain" and "classes." The "domain" column contains a list of domains, representing various websites or online entities. The "classes" column contains an array representation of ad targeting multi-classes associated with each domain.

## Usage

### Hugging Face Datasets Library

The dataset is formatted to be seamlessly integrated with Hugging Face's datasets library. Users can easily load the dataset using the following code:

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("ansi-code/domain-advertising-classes-693k")
```

## Columns
- domain: This column contains the domains of websites or online entities.
- classes: The "classes" column represents an array of multi-class labels associated with each domain for ad targeting. (see here mapping https://github.com/patcg-individual-drafts/topics/blob/main/taxonomy_v1.md)

## Data Format
- domain: String
- classes: List of strings representing multi-class labels

## License
This dataset is released under the Apache 2.0 license.

## Citation
If you use this dataset in your work, please cite it using the following BibTeX entry:

```bibtex
@dataset{silvi-2023-dac693k,
  title = {domain-advertising-classes-693k},
  author = {Andrea Silvi},
  year = {2023},
}
```

## Acknowledgements
Additionally, we acknowledge the usage of the ad targeting taxonomy provided in [this GitHub repository](https://github.com/patcg-individual-drafts/topics/). The taxonomy has been instrumental in organizing and labeling the multi-class targets associated with each domain in the dataset.