hindcast

Use cases & endpoints

Central bank speeches dataset — searchable and cited

Speeches are where policymakers say the things a committee statement cannot. They are also where the earliest signals of a shift usually appear, delivered at a conference in front of an audience of two hundred people and a webcast nobody watched.

As a corpus they are scattered by construction: each institution publishes its own officials, regional banks maintain separate archives, and the format ranges from clean HTML to a scanned PDF of prepared remarks. Building a usable dataset means collecting across institutions and normalizing the metadata that makes speeches comparable — who spoke, in what role, where, and when.

Hindcast maintains that corpus with delivery timestamps preserved, roles recorded as they stood at the time, and the text chunked so retrieval returns an argument rather than a document. Every passage keeps its link back to the published original.

hindcast — session

preview

hindcast> speeches mentioning a topic across several banks this year

→ tool: cb_speeches { banks:["..."], query:"...", period:"..." }

passages with speaker, institution, venue and date

source: institutional speech archives

Preview of the shape of an answer — endpoints open to the waitlist first.

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Questions

Why keep the speaker's role as of the delivery date?

Because it changes the weight of the words. The same person speaking as a regional president and later as a governor is not making an equivalent statement, and a corpus that only stores current roles quietly rewrites that history.

Are speeches scored for tone?

No. The dataset returns text and metadata; tone scoring is a modeling choice with many defensible variants, and baking one into the data would make the others harder to build.

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