Forbes Archive 1917 - 1930

Complete pre-1930 archive of Forbes Magazine - one of America's most influential business publications, founded by B.C. Forbes. **9,267 rows** of clean, structured text beginning with **Volume 1, Issue 1, September 15, 1917**.

**What this data does for your model:**

- Your model learns authentic early 20th‑century business journalism from the magazine founded by B.C. Forbes.
- Your model retrieves original profiles of 50 business leaders, including Rockefeller, Morgan, Ford, Carnegie, and Edison.
- Your model trains on WWI‑era economic analysis, investment strategy, and the "human side of business."
- Your model understands the language of early American capitalism, from railroad management to industrial organization.

**Includes:** Volume 1, Number 2 (September 29, 1917) through 1930.<br/>**Total rows:** 9,267

**What's inside:**

- Volume 1, Issue 1, early issue of Forbes
- "Men Who Are Making America" - 50 business leaders (Rockefeller, Morgan, Ford, Carnegie, Edison, Schwab, Vanderbilt)
- WWI economics and business mobilization
- Investment finance and business strategy
- The human side of business
- Railroad management and industrial organization

**Perfect for:**

- LLM fine-tuning on 20th-century business journalism
- Economic history and finance research
- Business education and leadership studies
- Digital humanities and American capitalism

**Format:** Snowflake-native JSONL with columns: ISSUE, TITLE, AUTHOR, TYPE, TEXT. Fully cleaned, bias-audited, and ready for AI training.

*From the first issue in 1917 through 1930 - the magazine that chronicled American business, now ready for AI.*

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原始信息汇总

Forbes Archive 1917 - 1930 数据集概述

数据集基本信息

• 数据集名称：Forbes Archive 1917 - 1930
• 提供商：Devin Media Corp.
• 数据描述：Complete pre-1930 archive of Forbes Magazine - one of Americas most influential business publications, founded by B.C. Forbes.
• 数据规模：9,267 rows
• 数据格式：Snowflake-native JSONL
• 数据列：ISSUE, TITLE, AUTHOR, TYPE, TEXT
• 数据质量：Fully cleaned, bias-audited, and ready for AI training
• 覆盖时间范围：From the first issue in 1917 through 1930
• 起始内容：Volume 1, Issue 1, September 15, 1917

数据内容详情

包含内容

• Volume 1, Issue 1, early issue of Forbes
• "Men Who Are Making America" - 50 business leaders (Rockefeller, Morgan, Ford, Carnegie, Edison, Schwab, Vanderbilt)
• WWI economics and business mobilization
• Investment finance and business strategy
• The human side of business
• Railroad management and industrial organization

适用场景

完美适用于

• LLM fine-tuning on 20th-century business journalism
• Economic history and finance research
• Business education and leadership studies
• Digital humanities and American capitalism

商业需求应用

机器学习

• Train, fine-tune, and deploy machine learning models on 9,200+ rows of curated early 20th-century business journalism
• Ideal for domain-specific LLM fine-tuning, financial terminology extraction, and business NLP

真实世界数据

• Leverage historically documented business strategies, leadership profiles, and economic analysis as real-world data for research and analysis
• This archive captures American business during WWI and the Roaring Twenties

生命科学商业化

• Support business and economic research with curated historical journalism documenting the evolution of American capitalism from 1917–1930

使用示例

查看元数据文档

sql SELECT TITLE, TEXT FROM FORBES_CORPUS WHERE TYPE = metadata LIMIT 5;

搜索商业领袖

sql SELECT ISSUE, TITLE FROM FORBES_CORPUS WHERE TYPE = article AND TEXT ILIKE %rockefeller% OR TEXT ILIKE %ford% OR TEXT ILIKE %carnegie% OR TEXT ILIKE %morgan% LIMIT 10;

按类型统计行数

sql SELECT TYPE, COUNT(*) FROM FORBES_CORPUS GROUP BY TYPE;

搜索一战商业内容

sql SELECT TITLE, ISSUE FROM FORBES_CORPUS WHERE TYPE = article AND TEXT ILIKE %war% OR TEXT ILIKE %railroad% OR TEXT ILIKE %investment% LIMIT 10;

试用信息

• 试用类型：Limited time trial
• 试用时长：7 days
• 试用内容：Explore the complete Forbes archive (1917–1930) with full access to all 9,267 rows
• 试用后：After 7 days, access will expire. To continue, please contact us for a license.

数据集技术信息

• 刷新频率：Annually
• 交付方式：Secure share
• 法律条款：Standard

提供商信息

• 公司名称：Devin Media Corp.
• 公司专业领域：Specializes in premium historical data for AI training
• 数据特点：
  • Pre-1930 and verified public domain/Copyright free
  • Professionally OCRd and aggressively cleaned
  • Provenance-tracked and bias-audited
  • Formatted as JSONL for AI-readiness
  • Delivered via secure API (no file downloads)

联系方式

• 销售：[e-mail]
• 支持：[e-mail]