metadata

language:
  - en
pretty_name: AI/Technology Articles
tags:
  - temporal series data
  - language data
license: mit
task_categories:
  - text-generation
  - feature-extraction

AI/Tech Dataset

This dataset is a collection of AI/tech articles scraped from the web.

It's hosted on HuggingFace Datasets, so it is easier to load in and work with.

To load the dataset

1. Install HuggingFace Datasets

pip install datasets

2. Load the dataset

from datasets import load_dataset

dataset = load_dataset("siavava/ai-tech-articles")

# optionally, convert it to a pandas dataframe:
df = dataset["train"].to_pandas()

You do not need to clone this repo.

HuggingFace will download the dataset for you, the first time that you load it, and cache it so it does not need to re-download it again (unless it detects a change upstream).

File Structure

analytics.ipynb - Notebook containing some details about the dataset and how to load it.
data/index.parquet - compressed parquet containing the data.
For raw text files, see the scraper repo on GitHub.