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, 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).