tech news
tech-news-embeddings
Overview
HackerNoon 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, 1576528… See the full description on the dataset page: https://huggingface.co/datasets/MongoDB/tech-news-embeddings.tech-news-dailynews-tech-datasetTech-Stocks-NewsThis dataset contains news articles and headlines about AAPL, AMZN, TSLA, GOOG, MSFT, META, BABA, and NVDA from January 1, 2015 to January 30, 2024. The data was pulled from Alpaca Markets' API.
tech-company-news-data-dump-clean
List of Company name and Description from HackerNoon Tech Companh Dataset
HackerNoon Tech Companh Dataset
Here is the code I use to transform
from datasets import load_dataset, Dataset
# Load the dataset
dataset = load_dataset('HackerNoon/tech-company-news-data-dump', split='train')
# Filter out rows where the "description" column is None or empty
filtered_dataset = dataset.filter(lambda x: x['description'] is not None and x['description'] != '')
# Extract the… See the full description on the dataset page: https://huggingface.co/datasets/pacozaa/tech-company-news-data-dump-clean.threads-english-tech-news-sft
Threads English Tech News — SFT Dataset
Supervised fine-tuning dataset of English tech-news posts scraped from Threads
(via Apify). Instructions are reverse-generated by GPT-5.2: given each real post,
the model produces the instruction that would have elicited it.
Schema
Each example contains:
Field
Description
instruction
GPT-5.2 reverse-generated prompt describing the post to write
constraints
{"max_chars": 500, "num_posts": 1}
output
{"posts": [...]… See the full description on the dataset page: https://huggingface.co/datasets/e1879/threads-english-tech-news-sft.