๐Ÿ‡ฎ๐Ÿ‡น Descrizione (Italiano)

Nano Italian Corpus - Economics

๐Ÿ† High Quality Data

Descrizione

Questo dataset รจ una risorsa specializzata contenente 18.5 milioni di caratteri di testo in lingua italiana, focalizzata verticalmente sul dominio economico, finanziario e bancario.

Progettato come base di conoscenza (knowledge base) curata, offre un'alternativa ad alta densitร  informativa rispetto ai dataset generalisti rumorosi.

Composizione del Dataset

Il corpus unisce precisione tecnica e chiarezza didattica attraverso due fonti:

  • Dati Sintetici (High Quality LLM Generated): Testi prodotti tramite Large Language Models e rigorosamente filtrati, strutturati per insegnare concetti economici e scenari di mercato con logica deduttiva.
  • Fonti Istituzionali (BCE): Una selezione di comunicazioni ufficiali della Banca Centrale Europea, che garantisce l'esposizione a un registro linguistico formale e istituzionale.

โš ๏ธ Nota sull'Utilizzo (Disclaimer)

Sebbene di Alta Qualitร , un corpus di 18.5M caratteri non รจ sufficiente da solo per l'addestramento completo di un LLM generalista "from scratch".

Tuttavia, รจ una risorsa preziosa per:

  • Educational & Research: Test rapido di architetture Nano e pipeline di training su dati puliti.
  • Data Augmentation: Arricchimento di dataset piรน ampi con terminologia economica specifica.
  • Fine-Tuning: Specializzazione di modelli pre-esistenti sul dominio finanziario italiano.

๐Ÿ‡ฌ๐Ÿ‡ง Description (English)

Nano Italian Corpus - Economics

๐Ÿ† High Quality Data

Description

This dataset is a specialized resource containing 18.5 million characters of Italian text, vertically focused on the economic, financial, and banking domains.

Designed as a curated knowledge base, it offers a high-information-density alternative to noisy generalist datasets.

Dataset Composition

The corpus combines technical precision with educational clarity through two sources:

  • Synthetic Data (High Quality LLM Generated): Texts produced via Large Language Models and strictly filtered, structured to teach economic concepts and market scenarios with deductive logic.
  • Institutional Sources (ECB): A selection of official communications from the European Central Bank, ensuring exposure to a formal and institutional linguistic register.

โš ๏ธ Usage Note (Disclaimer)

While containing High Quality Data, a corpus of 18.5M characters is not sufficient on its own to train a fully production-ready General LLM from scratch.

However, it is a highly valuable resource for:

  • Educational & Research: Rapid testing of Nano-architectures and training pipelines on clean data.
  • Data Augmentation: Enriching larger datasets with specific economic terminology.
  • Fine-Tuning: Specializing pre-existing models on the Italian financial domain.


๐Ÿ“Š Dataset Content Detailed Index

Below is a detailed breakdown of the macro-areas and specific topics covered in the dataset, along with their frequency and depth intensity.

Intensity Legend

  • ๐Ÿ”ด๐Ÿ”ด๐Ÿ”ด Very High (Core Topic): Omnipresent topic, pillar of the dataset.
  • ๐Ÿ”ด๐Ÿ”ดโšช High: Topic treated frequently and in detail.
  • ๐Ÿ”ดโšชโšช Medium: Topic regularly present as support or context.
  • โšชโšชโšช Low/Contextual: Specifically mentioned in minor sections or as examples.

1. MONETARY POLICY AND CENTRAL BANKING (Dominant)

This is the main area of the corpus. The language is technical, institutional, and prescriptive.

  • Interest Rate Decisions ๐Ÿ”ด๐Ÿ”ด๐Ÿ”ด
    • Main refinancing operations rates.
    • Deposit facility rates.
    • Open market operations.
    • Forward guidance (future orientation on decisions).
  • Inflation Objective and Price Stability ๐Ÿ”ด๐Ÿ”ด๐Ÿ”ด
    • 2% symmetric target over the medium term.
    • Harmonised Index of Consumer Prices (HICP).
    • Core inflation vs. Headline inflation.
    • Volatile components (energy, food).
  • Unconventional Monetary Policy Instruments ๐Ÿ”ด๐Ÿ”ดโšช
    • Asset Purchase Programmes (APP).
    • Pandemic Emergency Purchase Programme (PEPP).
    • Long-term refinancing operations (TLTRO, PELTRO).
    • Reinvestment of principal payments.
  • Eurosystem Governance ๐Ÿ”ดโšชโšช
    • Role of the ECB Governing Council.
    • Eurosystem vs. individual National Central Banks.
    • Central Bank Independence.

2. MACROECONOMIC AND CONJUNCTURAL ANALYSIS

Analysis of the economy's health, projections, and statistical data.

  • Economic Growth (GDP) ๐Ÿ”ด๐Ÿ”ดโšช
    • Macroeconomic projections for the Euro area.
    • Domestic demand vs. Foreign demand.
    • Services sector vs. Manufacturing sector.
    • Consumer and business confidence (sentiment).
  • Labor Market ๐Ÿ”ด๐Ÿ”ดโšช
    • Unemployment and employment rates.
    • Wage dynamics (negotiations, wage growth).
    • Labor shortages in specific sectors.
    • Labor productivity.
  • International Trade and Foreign Commerce ๐Ÿ”ดโšชโšช
    • Supply chain bottlenecks.
    • Commodity prices.
    • Balance of payments and terms of trade.
    • Global economy (US, China, Emerging markets).

3. BANKING SYSTEM AND FINANCIAL MARKETS

Focus on the monetary policy transmission mechanism to the real economy.

  • Financing and Credit Conditions ๐Ÿ”ด๐Ÿ”ด๐Ÿ”ด
    • Bank Lending Survey (BLS).
    • Credit standards for loans to firms and households.
    • Loan demand (for investment vs. working capital).
    • Cost of borrowing (mortgage rates, corporate rates).
  • Financial and Sovereign Markets ๐Ÿ”ด๐Ÿ”ดโšช
    • Sovereign bond yields (Spreads).
    • Yield curves.
    • Equity and corporate bond markets.
    • Euro exchange rate (EER - Effective Exchange Rate).
  • Financial Stability and Macroprudential Policy ๐Ÿ”ดโšชโšช
    • Systemic risks and bank vulnerabilities.
    • Capital buffers.
    • Non-bank financial sector (Funds, Insurers).

4. FISCAL AND STRUCTURAL POLICY

Interaction between governments and the economy, often viewed through the ECB lens.

  • Public Budget and Debt ๐Ÿ”ด๐Ÿ”ดโšช
    • Deficit-to-GDP and Debt-to-GDP ratios.
    • Public debt sustainability.
    • Stability and Growth Pact (EU fiscal rules).
    • Fiscal support measures (during energy crisis or pandemic).
  • European Programs (NGEU / RRF) ๐Ÿ”ดโšชโšช
    • Next Generation EU.
    • National structural reforms.
    • Public investment and digital/green transition.

5. SHOCKS AND EXOGENOUS FACTORS

External events influencing economic decisions.

  • Energy Crisis ๐Ÿ”ด๐Ÿ”ดโšช
    • Gas and electricity prices.
    • Impact of energy on inflation and industrial production.
    • Energy cost mitigation measures.
  • Geopolitics and Uncertainty ๐Ÿ”ดโšชโšช
    • War in Ukraine (economic impact and sanctions).
    • Global geopolitical uncertainty.
  • COVID-19 Pandemic (Contextual/Historical) ๐Ÿ”ดโšชโšช
    • Lockdowns, reopenings, and base effects on statistics.
    • Post-pandemic supply chain bottlenecks.

6. CROSS-CUTTING AND FUTURE THEMES

Emerging or specific themes appearing less frequently but with high specificity.

  • Climate Change โšชโšชโšช
    • Impact of the green transition on the economy.
    • Climate risks for the financial system.
  • Payment Innovation โšชโšชโšช
    • Digital Euro.
    • Retail payment systems.
  • Real Estate Market ๐Ÿ”ดโšชโšช
    • Residential and commercial property prices.
    • Mortgages and real estate sector risks.

๐Ÿ‘ฅ Credits & Authors / Crediti e Autori

This dataset and the related experiments were created and curated by: Questo dataset e i relativi esperimenti sono stati creati e curati da:

  • Ottaviani Flavio Rubens
  • Buccino Davide

Project developed for educational research on Nano Language Models (NLMs).

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