---
license: mit
task_categories:
- text-classification
- text-generation
- sentence-similarity
language:
- en
tags:
- code
pretty_name: gfg
size_categories:
- 1K<n<10K
---

### Dataset Summary

The `geeksforgeeks` dataset is a curated collection of **9,438 educational articles** scraped from [GeeksforGeeks](https://www.geeksforgeeks.org), a widely-used platform for learning programming, computer science, and data science topics. Each entry includes metadata such as publication date, title, full text, topic, URL, and precomputed vector embeddings **(OpenAI's text-embedding-3-large)**.


---

### Dataset Structure

Each entry includes the following fields:

| Field Name       | Type        | Description                                                                 |
|------------------|-------------|-----------------------------------------------------------------------------|
| `date`           | string      | Date the article was published (format: DD MMM, YYYY).                      |
| `text`           | string      | Full article content.                                                       |
| `topic`          | string      | Specific topic/category of the article.                                     |
| `url`            | string      | Original URL of the article.                                                |
| `root_topic`     | string      | Higher-level umbrella topic (e.g., "Data Science & ML").                    |
| `heading`        | string      | Title of the article.                                                       |
| `related_topics` | list[string]| Additional relevant tags/topics.                                            |
| `author`         | string      | Article author (It's just Geeks for Geeks).                                 |
| `vector`         | list[float] | Vector embedding (OpenAI's text-embedding-3-large)                          |

---

### Dataset Stats

- **9,438** unique articles
- **9,399** distinct vector embeddings (some rows may be missing embeddings)
- **63** root topic categories

This dataset is useful for:
- Text embedding search
- Educational content recommendation
- Topic modeling
- Sentence similarity training
- LLM evaluation datasets
- Knowledge graph construction
---

### Data Collection

Articles were collected using a hybrid scraping approach via **Selenium** and **BeautifulSoup**, capturing dynamic and static content across GeeksforGeeks’. Only publicly accessible, educational content was included.

---


### Intended Uses

This dataset is released without a specific target application. Researchers and developers may find it valuable for:
- Educational NLP tasks
- Search engine benchmarking
- Semantic similarity experiments
- Dataset distillation
- LLM performance evaluation

---

### License

No explicit license has been assigned to this dataset. Users are encouraged to **use it for educational and research purposes only** and **respect the rights of the original content owners (GeeksforGeeks.org)**.

---