|
--- |
|
license: apache-2.0 |
|
task_categories: |
|
- question-answering |
|
- text-generation |
|
language: |
|
- en |
|
tags: |
|
- vector search |
|
- semantic search |
|
- retrieval augmented generation |
|
pretty_name: hackernoon_tech_news_with_embeddings |
|
size_categories: |
|
- 100K<n<1M |
|
--- |
|
|
|
|
|
[HackerNoon](https://huggingface.co/datasets/HackerNoon/tech-company-news-data-dump/tree/main) curated the internet's most cited 7M+ tech company news articles and blog posts about the 3k+ most valuable tech companies in 2022 and 2023. |
|
|
|
To further enhance the dataset's utility, a new embedding field and vector embedding for every datapoint have been added using the OpenAI EMBEDDING_MODEL = "text-embedding-3-small", with an EMBEDDING_DIMENSION of 256. |
|
|
|
Notably, this extension with vector embeddings only contains a portion of the original dataset, focusing on enriching a selected subset with advanced analytical capabilities. |