Publicly available qualitative datasets perfect for learning MindCoder's workflow. Download any of these, then upload the transcripts into a new project to practice coding.
Interview data from Anthropic exploring perspectives on AI systems, safety, and alignment. A contemporary dataset ideal for practicing coding around technology ethics and human-AI interaction themes.
View on Hugging Face →In-depth interviews with Scrum practitioners exploring how agile methodology affects software quality. A rich dataset with clear themes around teamwork, process, and quality assurance.
Download from Zenodo →Interviews with Social Sciences faculty at UC Santa Barbara about incorporating quantitative data into teaching. Great for exploring pedagogical themes and institutional dynamics.
Download from Dryad →Anonymised interviews with gaming industry stakeholders covering ethics, design practices, and the social impact of games. Diverse perspectives from developers, researchers, and policymakers.
Download from Zenodo →Interviews exploring how governance structures adapt to rapid technological change. Covers policy-making, regulation, and institutional responses to emerging technologies.
Download from Dryad →A healthcare qualitative study with interviews from patients and staff about exercise during dialysis. Includes individual interviews and focus group transcripts — good for practicing multi-source analysis.
Download from Dryad →A multi-country Delphi study with qualitative data from 66 experts across Europe discussing the needs and support systems for young carers. Excellent for cross-cultural thematic analysis.
Download from Dryad →How to use these datasets: Download the interview transcripts, then create a new project in MindCoder and upload/paste the text. Start with a smaller subset (2–3 interviews) to learn the workflow before loading the full dataset.