---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: int64
  - name: label_text
    dtype: string
  splits:
  - name: train
    num_bytes: 2121439.4071951606
    num_examples: 1766
  download_size: 1646448
  dataset_size: 2121439.4071951606
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# 20newsgroups Demo
This 20 newgroups dataset is a filtered version containing only the "atheism.alt" and "soc.religion.christian". It is based on the [SetFit/20_newsgroups](https://huggingface.co/datasets/SetFit/20_newsgroups) dataset.
This dataset is used for our workshops at the [AI Maker Community](https://aimaker.community/), a project sponsored by the Federal Ministry of Education and Research in Germany.

# Original Dataset
This is a version of the [20 newsgroups dataset](https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html#the-20-newsgroups-text-dataset) that is provided in Scikit-learn. From the Scikit-learn docs:

> The 20 newsgroups dataset comprises around 18000 newsgroups posts on 20 topics split in two subsets: one for training (or development) and the other one for testing (or for performance evaluation). The split between the train and test set is based upon a messages posted before and after a specific date.

We followed the [recommended practice](https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html#filtering-text-for-more-realistic-training) to remove headers, signature blocks, and quotations from each news article.