|
|
--- |
|
|
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)**. |
|
|
|
|
|
--- |
