Chemist and Druggist (1859-1930)

Complete pre-1930 archive of Chemist and Druggist, the leading trade journal for the UK pharmacy community. **293,773 rows** of clean, structured text documenting the business of pharmacy from 1859 to 1930.

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

- Your model learns authentic 19th‑century British pharmacy trade journalism, capturing the business side of the profession.
- Your model retrieves original job advertisements, business sales, pharmacy transfers, wholesale drug pricing, and market reports from 1859‑1930.
- Your model trains on the language of pharmaceutical commerce, from Victorian‑era classifieds to Edwardian supply chain logistics.
- Your model understands the evolution of pharmacy as a commercial enterprise, including trade news, regulatory changes, and industry intelligence.

**What's inside:**

- Job advertisements and classifieds for pharmacists and assistants
- Business sales and pharmacy transfers
- Wholesale drug pricing and market reports
- Trade news and industry developments
- Pharmaceutical commerce in Victorian and Edwardian Britain

**Perfect for:**

- LLM fine-tuning on pharmaceutical business text
- Economic history and labor market research
- Pharmacy trade analysis
- Historical drug pricing and supply chain studies

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

*From job ads to wholesale prices, the business of pharmacy, now ready for the age of AI.*

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原始信息汇总

Chemist and Druggist (1859-1930) 数据集概述

数据集基本信息

• 数据集名称: Chemist and Druggist (1859-1930)
• 数据提供方: Devin Media Corp.
• 数据描述: 英国药学社区领先贸易期刊《Chemist and Druggist》的完整1930年前档案，包含1859年至1930年间药学业务的干净、结构化文本记录。
• 数据规模: 293,773 行

数据内容

数据集包含以下关键内容：

• 药剂师和助理的招聘广告和分类广告
• 业务销售和药房转让信息
• 批发药品定价和市场报告
• 贸易新闻和行业发展动态
• 维多利亚时代和爱德华时代英国的药品商业活动

适用场景

• 针对药学商业文本的大型语言模型（LLM）微调
• 经济史和劳动力市场研究
• 药学贸易分析
• 历史药品定价和供应链研究

数据格式与结构

• 格式: Snowflake原生JSONL格式
• 数据列:
  • ISSUE (Varchar)
  • TITLE (Varchar)
  • AUTHOR (Varchar)
  • TYPE (Varchar)
  • TEXT (Varchar)
  • INGESTION_DATE (Timestamp_NTZ)
• 数据状态: 经过完全清洗、偏见审核，可直接用于AI训练。

业务需求对应

机器学习

用于训练、微调和部署机器学习模型，包含超过293,000行1859-1930年间的精选药学贸易文本。适用于领域特定的LLM微调、药学商业术语提取和经济史自然语言处理（NLP）。

真实世界数据

利用历史记录的就业市场、业务销售和批发定价作为研究和分析的真实世界数据。该档案记录了19世纪药学的商业层面。

生命科学商业化

通过记录药学作为商业企业演变的精选历史贸易文献，支持药学商业研究。追踪从维多利亚时代开始的就业市场、企业估值和药品定价。

数据字典（示例）

数据表名: CHEMIST_DRUGGIST_CORPUS 数据预览示例如下：

ISSUE	TITLE	AUTHOR	TYPE	TEXT	INGESTION_DATE
1997-b19974760M2333	Scholarship between 1891and 1915. nofewer than	Unknown	article	Scholarship between 1891and 1915. nofewer than Scientific andIndustrial Research. Playfair was, inaddition, one ofthefounders oftheChemical Society of London...	null
1997-b19974760M2726	The annual dinner oftheCheshire Pharmaceutical	Unknown	article	The annual dinner oftheCheshire Pharmaceutical tothesmooth working oftheActs to-day. Thevarious guests replied, andthefunction wasbrought toaclose byavisit tothetheatre...	null

使用示例

查看元数据文档

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

搜索招聘广告

sql SELECT ISSUE, TITLE FROM CHEMIST_DRUGGIST_CORPUS WHERE TYPE = article AND TEXT ILIKE %wanted% OR TEXT ILIKE %assistant% LIMIT 10;

按类型统计行数

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

搜索业务销售

sql SELECT TITLE, ISSUE FROM CHEMIST_DRUGGIST_CORPUS WHERE TYPE = article AND TEXT ILIKE %business% OR TEXT ILIKE %disposed% LIMIT 10;