---
license: cc-by-sa-4.0
task_categories:
- text-classification
- zero-shot-classification
- feature-extraction
language:
- en
pretty_name: j
size_categories:
- 10M<n<100M
---

# Dataset Card for 13M+ Website Domains with Industry Labels

This dataset contains over **12 million website domain URLs** mapped to their associated **industry categories**.  
It is useful for **domain classification, industry prediction, NLP preprocessing, clustering, and machine learning research**.  

This dataset card has been generated based on the [Hugging Face dataset card template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

---

## Dataset Details

### Dataset Description

- **Curated by:** Satyam Mishra  
- **Funded by [optional]:** None  
- **Shared by:** [Kaggle DOI](https://doi.org/10.34740/kaggle/dsv/9734207)  
- **Language(s) (NLP):** URLs (not language-specific, but linked industries are primarily English labels)  
- **License:** Research and educational use only  

The dataset has **two columns**:  
- `website`: Domain URL (cleaned, no DNS tags)  
- `industry`: Associated industry or category (with ~5% null values)  

---

### Dataset Sources

- **Repository:** [Kaggle Dataset](https://www.kaggle.com/dsv/9734207)  
- **Paper [optional]:** N/A  
- **Demo [optional]:** N/A  

---

## Uses

### Direct Use
This dataset can be used for:  
- Training and evaluating **domain → industry classifiers**  
- **NLP preprocessing** for URL/domain-related models  
- **Business intelligence** (e.g., mapping company presence across industries)  
- **Clustering & categorization** of domains  

### Out-of-Scope Use
- Misuse for phishing detection or malicious targeting of industries  
- Commercial exploitation of the dataset beyond research/educational purposes  
- Inference of sensitive or personal data (none exists in the dataset)  

---

## Dataset Structure

The dataset consists of a single table with **13,642,052 rows** and two fields:  

- **website**: Cleaned domain URL  
- **industry**: Associated industry or category (nullable, ~5% missing values)  

Example:  

```json
{
  "website": "example.com",
  "industry": "Technology"
}
```

## Dataset Creation

### Curation Rationale
The motivation was to create one of the largest open datasets mapping **web domains to industries** for advancing research in **web classification, NLP, and ML-driven categorization**.  

### Source Data

#### Data Collection and Processing
- **Scraping** — Website URLs were collected from publicly available internet sources.  
- **Cleaning** — DNS tags and non-relevant parts were removed.  
- **Industry Mapping** — Mapped via metadata, keywords, and context.  
- **Final Dataset** — Consolidated into two columns (`website`, `industry`).  

#### Who are the source data producers?
- The data comes from **publicly available websites**.  
- No private or proprietary datasets were used.  

### Annotations [optional]

#### Annotation Process
- Industries were mapped using **rule-based and contextual matching techniques**.  

#### Who are the annotators?
- The dataset was created and curated by the **author (Satyam Mishra)**.  

#### Personal and Sensitive Information
- No personal, sensitive, or private data is included.  
- Dataset consists only of **publicly available domains and general industry categories**.  

---

## Bias, Risks, and Limitations

- ~5% missing values in the `industry` column.  
- Some industries may be **ambiguous or mislabeled** due to heuristic mapping.  
- Domains without clear metadata may not have precise industry labels.  

### Recommendations
- Users should **clean and validate industries** before downstream ML tasks.  
- Consider re-labeling ambiguous or null industry entries with custom classification.  
- Dataset is best suited for **research and educational purposes**.


## Citation

If you use this dataset, please cite:

### BibTeX:
```
@misc{satyam_mishra_2024,
  title={12M+ Website Domains with Industry Labels},
  url={https://www.kaggle.com/dsv/9734207},
  DOI={10.34740/KAGGLE/DSV/9734207},
  publisher={Kaggle},
  author={Satyam Mishra},
  year={2024}
}
```

### APA:
Mishra, S. (2024). 12M+ Website Domains with Industry Labels. Kaggle. https://doi.org/10.34740/kaggle/dsv/9734207