Datasets:
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Download DATA_DICTIONARY.md from wangjinh/FRED-SemBench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/wangjinh/FRED-SemBench/resolve/main/DATA_DICTIONARY.md
- Command line
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hf download hf://datasets/wangjinh/FRED-SemBench/DATA_DICTIONARY.md
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curl -L -o DATA_DICTIONARY.md https://huggingface.co/datasets/wangjinh/FRED-SemBench/resolve/main/DATA_DICTIONARY.md
2.41 kB
FRED-SemBench V1 Candidate Data Dictionary
concepts.json
concept_id: frozen benchmark identifier fromFRED-C001toFRED-C050.name: human-readable indicator concept.series_id: canonical FRED series used by the benchmark.frequency: reported observation frequency.official_source: agency responsible for the underlying statistic.unit/display_unit: normalized and human-readable units.precision: decimal quantization used for gold answers.change_kind: deterministic rule used to construct the change fact.alternative_series_id: plausible confounder used in disambiguation cases.
facts.jsonl
Each concept has a level fact and a change fact.
fact_id: stable fact identifier.benchmark_concept_id: foreign key toconcepts.json.series_ids: required provider series.observation_period/observation_dates: human and ISO representations.as_of: benchmark snapshot cutoff.vintage_mode: currentlyfrozen_current_vintage.raw_observations: values used by the deterministic derivation.derivation: transform name and formula description.answer: numeric gold, unit, and precision.source: official source, provider, and series URL.snapshot: request URL, local file, snapshot ID, and SHA-256.verification: automatic recomputation status.
questions.jsonl
case_id: stable ID fromfred_sem_0001tofred_sem_0200.primary_concept_id: concept used for allocation and stratification.task_type: one of the six frozen task types.fact_ids: evidence records; empty for clarification cases.gold.answer_mode:numericorclarification.gold: concept, series, transform, period, answer, provenance, and required response elements.confounders: alternative series and the expected common error.annotation: review status and review notes.
Review files
allocation.csv: one row per concept and one binary column per task type.questions_review.csv: flattened review view; reviewers completereviewer_decisionandreviewer_notes.QA_REPORT.md: automated results and unresolved release gates.
Snapshot semantics
The CSV files reproduce the provider responses downloaded on 2026-07-29. They are frozen current-vintage evidence, not historical ALFRED vintages. A future historical-vintage extension must use a distinct benchmark version.