Update README.md

README.md

@@ -1,3 +1,56 @@
 ---
 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.