MTS

Livestreamed news. Open-source receipts.

MTS is a daily livestreamed news/talk show on X — @mtslive · mts.now. We cover the stories that actually matter: courtrooms, capital markets, geopolitics, internet culture. And we publish the underlying material as machine-readable datasets so anyone can fact-check, remix, or train on the exact same source we used to make the show.

Hugging Face is where our editorial work lives in its rawest, most reusable form.

Featured release

musk-v-altman-exhibits

Every PX and DX trial exhibit from Elon Musk, et al. v. Samuel Altman, et al. — emails, Slack threads, text-message extractions, board memos, term sheets, IRS filings — with transcribed text, structured metadata, and our editorial commentary. CC-BY-4.0.

from datasets import load_dataset
ds = load_dataset("mtslive/musk-v-altman-exhibits", split="train")

Why this org exists

The work that goes into a single segment — pulling exhibits off PACER, transcribing 300 pages of filings, normalizing dates, cross-referencing names — is usually thrown away the moment the broadcast ends. We think that's backwards. The receipts should outlive the segment. So everything we use, we ship here.

Every dataset on this org is built from a public-interest editorial project, and every one ships with:

• Structured metadata — filter, group, query without parsing PDFs yourself
• Transcribed / normalized text — no re-OCRing the same source
• Direct provenance — links back to the primary documents
• A real dataset card — license, schema, known limitations, citation

In the pipeline

• ufo — declassified UAP filings, structured

Editorial principles

The same standard whether the source is a 600-page court filing or a 30-second viral clip:

1. Cite the primary document. Always. Datasets without a source_url or equivalent don't ship.
2. Show the transcription work. Don't paraphrase what you can quote.
3. Make it redistributable. If we used it to make the show, you should be able to use it too.

License

Default is CC-BY-4.0 unless a dataset card says otherwise. Use it commercially. Train models on it. Redistribute it. We just ask for credit ("MTS — mts.now") and a link back. Underlying primary documents (court records, government disclosures, etc.) carry their own legal status, which we annotate per dataset.

Get in touch

• Site: mts.now
• Show: @mtslive on X
• Community: discord.gg/mtslive
• Trial coverage wiki: trial.mts.now

If you build something interesting on top of one of these datasets — a model, a tool, a piece of journalism — tell us. We'll boost it on the show.