20_newsgroups_demo / README.md
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---
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.