Datasets:
metadata
license: cc0-1.0
language:
- en
pretty_name: Main Street Independent Corpus
task_categories:
- text-generation
- text-classification
- summarization
tags:
- news
- journalism
- ai-generated
- cc0
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: news
path: articles.jsonl
- split: opinion
path: columns.jsonl
Main Street Independent Corpus
The complete Main Street Independent archive as open data: 17,825 news articles and 3,295 opinion columns, each with full text and metadata. AI-generated news and opinion, dedicated to the public domain under CC0 — no rights reserved. Refreshed daily.
Load it
from datasets import load_dataset
ds = load_dataset("golfplan18/msi-corpus") # 'news' and 'opinion' splits
print(ds["news"][0]["headline"], ds["news"][0]["text"][:200])
Fields
slug, url, headline, publish_date, section, primary_entities, primary_themes, topic_tags, license, text (and pen_name for opinion columns).
Also available
- Bulk Markdown + richer JSONL indexes (atomic claims, sources): https://github.com/Golfplan18/msi-corpus
- Natural-language search + MCP endpoint: https://mainstreetindependent.com/data
License
CC0 1.0 Universal. Public domain — use freely, no attribution required.