Datasets:
File size: 1,755 Bytes
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---
language:
- en
license: mit
task_categories:
- text-generation
- feature-extraction
pretty_name: AI/Technology Articles
tags:
- temporal series data
- language data
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: int64
- name: year
dtype: int64
- name: title
dtype: string
- name: url
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 123475673
num_examples: 2429
download_size: 25153621
dataset_size: 123475673
---
# AI/Tech Dataset
This dataset is a collection of AI/tech articles scraped from the web.
It's hosted on [HuggingFace Datasets](https://huggingface.co/datasets/siavava/ai-tech-articles), so it is easier to load in and work with.
## To load the dataset
### 1. Install [HuggingFace Datasets](https://huggingface.co/docs/datasets/installation.html)
```bash
pip install datasets
```
### 2. Load the dataset
```python
from datasets import load_dataset
dataset = load_dataset("siavava/ai-tech-articles")
# optionally, convert it to a pandas dataframe:
df = dataset["train"].to_pandas()
```
> [!NOTE]
> 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](analytics.ipynb) - Notebook containing some details about the dataset and how to load it.
- [data/index.parquet](./index.csv) - compressed [parquet](https://www.databricks.com/glossary/what-is-parquet) containing the data.
- For raw text files, see the [scraper repo](https://github.com/siavava/scrape.hs) on GitHub.
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