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---
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)**.
--- |