MacroLens: A Benchmarking Corpus for Financial Reasoning Under Macroeconomic Scenarios

From 2021-01-04 to 2026-03-31, this dataset provides a benchmarking corpus for contextual financial reasoning across 4,416 U.S. small- and micro-cap equities. It unifies seven tasks over a single point-in-time panel, including forecasting and valuation. The dataset was created by macrolens and last updated on the Hugging Face platform in May 2026.

Use Cases

• Contextual time-series forecasting based on macroeconomic scenarios.
• Public and private company valuation based on financial-statement generation tasks.
• Scenario-conditioned return forecasting for U.S. small- and micro-cap equities.
• Generator evaluation from natural-language descriptions of financial scenarios.
• Real-estate valuation as one of the unified tasks.

Strengths

• Covers 4,416 U.S. small- and micro-cap equities.
• Spans a defined time range from 2021-01-04 to 2026-03-31.
• Unifies seven distinct financial reasoning tasks into a single benchmark.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Time Range

2021-01-04 — 2026-03-31

Freshness

Last updated 2026-05-20 02:21:39; freshness should be verified.

Geography

United States