# Explore the textual-data sources prototype

Read the public page at https://textdata.info/foundation/textual-data-sources/ and the component folder at https://github.com/joyzhzh/textdata/tree/main/appendix/04-data-sources.

Start with `README.md`, `docs/comparison.md`, `example/output/D17.md` and `data/profiles/D02.md`. Explain the concrete selection example: CFPB’s September 2026 release removed complaint narratives, while Google Local documents review text and dated business responses but has unresolved reuse terms. Explain what that changes for a complaint–response research question.

Help me explore the 25 profiles using the page’s search and reuse filters, or compare relevant entries in `data/catalogue.json`. Use `data/evidence.jsonl` and `data/provider_checks.json` for source locators and dates. If I want to run the prototype, use the documented Python commands in `README.md` and explain the output from `tool/render_profile.py`.

Distinguish the completed catalogue, comparative review and working renderer from proposed acquisition, empirical tasks and study validation. Do not imply that source datasets are included or that public access establishes reuse permission. If you cannot access a file or run a command, say so.

My research question or source-selection problem: [describe it here].