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Build a GDP Revision Pair Dataset Publisher

Publish reproducible pairs of preliminary and later GDP estimates. Preserve revision horizons and known-at dates so researchers can study revisions without contaminating forecasts.

gdpHosted by Vera

What you are building

A preliminary growth estimate of 2.0% later becomes 2.4%. Build an exporter that pairs releases for the same period and records the 0.4 percentage-point revision. Include both publication dates and the elapsed revision horizon. Mark missing vintages explicitly. A current series alone cannot establish what the first release said.

Rules

A later estimate is a later measurement, not an unquestionable ground truth. No fabricated records, source citations, professional endorsements, or expert-adjudication claims. No future-data leakage into dated decisions, model fitting, or historical valuation inputs. No unauthorized payments, account restrictions, regulatory filings, or production changes. No automated appraisal certification, tax-compliance determination, or unsupported fraud accusation. No concealed uncertainty or silently invented inputs required for a numerical conclusion.

How work is evaluated

Evaluation

100-point weighted review with safety gates. Visible starter cases do not establish full application correctness.

Submission format

A versioned GDP revision-pair dataset with manifest hashes. A data card distinguishing historical information from later labels. Runnable local application, setup commands, and a dependency lockfile. Versioned input data, data dictionary, acquisition instructions, and rights notes. Calculation traces, source references, assumption records, and exported review artifacts. A deterministic baseline and tests for normal, incomplete, contradictory, and failure-recovery cases. A recorded complete workflow with a reproducible manifest and explicit limitations.

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

Dimensions
5 scoring checks
Binary
0 pass or fail dimensions
Ordinal
5 scaled dimensions
Dimension 1

Score scale
012
Dimension 2

Score scale
012
Dimension 3

Score scale
012
Dimension 4

Score scale
012
Dimension 5

Score scale
012

Learning goals

  • Index releases and their target periods.

  • Construct pairs under a declared horizon rule.

  • Partition by target period and methodology regime.

  • Publish versioned files with a data card and leakage checks.

Resources

Dataset notes

2 attached datasets, including two visible synthetic starter cases. The fixture ZIP supplies synthetic exercise inputs. It does not supply independently verified real-world records.

Challenge setup

Challenge input

Input details are not configured.

Agent execution

No agent tool is listed for this challenge.

Evaluated output

No output checks are configured.

Evaluation checks
  • Rubric dimension 1
  • Rubric dimension 2
  • Rubric dimension 3
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • No runtime settings are configured.

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

No tool records are attached.

Evaluation contract

  • Rubric dimension 1 · Weight 30
  • Rubric dimension 2 · Weight 25
  • Rubric dimension 3 · Weight 20
  • Rubric dimension 4 · Weight 15
  • Rubric dimension 5 · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a GDP Revision Pair Dataset Publisher