audreyt/sayit-archive-tw

Audrey Tang Transcript Corpus

Public transcripts of Audrey Tang (唐鳳) — 2025 Right Livelihood Laureate, civic hacker, and Taiwan's Cyber Ambassador.

Tang is co-author of *Plurality: The Future of Collaborative Technology and Democracy* and an inaugural Senior Accelerator Fellow at the Oxford Institute for Ethics in AI. She served as Taiwan's first Digital Minister (2016–2024) and the world's first nonbinary cabinet minister, awarded the Right Livelihood Award for "advancing the social use of digital technology to empower citizens, renew democracy and heal divides."

A child prodigy who practiced Taoism to manage a congenital heart condition, Tang left formal schooling at 14. By 24, she was a leader in the free and open-source software communities, revitalizing the Haskell and Perl languages, and a computational linguistics consultant to Apple. She was instrumental in the creation of g0v (gov-zero) and played a pivotal role in the 2014 Sunflower Movement, facilitating digital consensus-building during the occupation of Taiwan's legislature.

As Digital Minister, Tang implemented radical transparency and participatory democracy platforms like vTaiwan and Join.gov.tw. Her tenure saw public trust in Taiwan's government rise from single digits to over 70%, driven by innovations such as the real-time Mask Map during COVID-19 and pioneering defenses against cyber interference in the 2024 elections. She describes her philosophy as becoming a "good enough ancestor," striving to leave future generations a wider canvas for democratic possibility.

Dataset Summary

Topics Covered

Radical transparency, digital democracy, civic tech, AI governance, participatory democracy, vTaiwan, Join.gov.tw, COVID-19 digital response (Mask Map, 1922 SMS, prebunking), plurality, techno-communitarianism, the 6-Pack of Care, g0v, Sunflower Movement, open-source software, international relations, cyber defense, deepfake regulation, alignment assemblies, policy coordination.

Dataset Configurations

turns

Individual speaker turns from all transcripts.

conversations

Full transcripts structured as multi-turn conversations with human/assistant roles (Audrey Tang as assistant).

sft_pairs

Instruction-response pairs for supervised fine-tuning, where the instruction is the preceding conversational context and the response is Audrey Tang's reply.

chunks

RAG-optimized chunks of Audrey Tang's responses with surrounding context, suitable for embedding and retrieval.

lexicon

Bilingual EN↔ZH terminology across AI, governance, tech, and society domains.

Source and License

The transcripts are sourced from sayit.archive.tw, published as records of a public office holder's official activities under CC0 1.0 Universal — no rights reserved. This dataset inherits the same dedication to the public domain.

Intended Uses

• —Fine-tuning grounded chatbots — Use the sft_pairs config with RAG retrieval from chunks to build conversational agents grounded in Audrey Tang's policy positions and communication style. The TAIDE model (Gemma-3-TAIDE-12b-Chat-2602) is the recommended base model for fine-tuning.
• —RAG retrieval — The chunks config provides pre-segmented, context-rich passages for embedding and retrieval-augmented generation.
• —Digital democracy research — Study civic tech policy language, open government discourse, and participatory democracy practices across a decade of public service.
• —Bilingual NLP — The corpus spans English and Traditional Chinese with parallel terminology in the lexicon config.

Citation

@dataset{audrey_tang_transcripts,
  title={Audrey Tang Transcript Corpus},
  author={Tang, Audrey},
  year={2026},
  url={https://sayit.archive.tw},
  license={CC0-1.0}
}