--- license: mit --- # Dataset Card for newmodels.io Public JSON Archive The newmodels.io Public JSON Archive is a structured JSON dataset containing published entries from newmodels.io, including interviews, readings, greenroom sessions, and other editorial content, with associated metadata and source links. ## Dataset Details ### Dataset Description This dataset is a public archive of editorial content published by newmodels.io. It aggregates posts and episodes into a machine-readable JSON format suitable for analysis, indexing, and downstream applications such as search, recommendation, and research. Each entry represents a single published item and includes metadata such as title, publication date, content type, tags, and a canonical URL. - **Curated by:** newmodels.io - **Funded by:** Independent - **Language(s) (NLP):** English - **License:** MIT ### Dataset Sources [optional] - **Repository:** https://github.com/newmodels-io/public-archive - **Demo:** https://newmodels.io/search ## Uses ### Direct Use The dataset can be used for: - Content discovery and indexing - Editorial analysis and trend tracking - Building recommendation or archive navigation tools - Training or evaluating models for metadata extraction or classification - Powering search, summarization, or retrieval-based systems (RAG) ### Out-of-Scope Use - Treating HTML titles as cleaned plain text without preprocessing - Assuming completeness or real-time accuracy - Automated decision-making without human review - Extracting personal data beyond what is publicly visible ## Dataset Structure The dataset is distributed as a JSON object with a single top-level key: ```json { "archive": [ ... ] }