fdr-training-corpus / README.md
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metadata
license: cc0-1.0
task_categories:
  - text-generation
  - conversational
language:
  - en
tags:
  - fdr
  - franklin-roosevelt
  - historical
  - leadership
  - presidential
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: messages
      list:
        - name: content
          dtype: string
        - name: role
          dtype: string
    - name: source_file
      dtype: string
    - name: chunk_id
      dtype: string
    - name: timestamp
      dtype: string
  splits:
    - name: train
      num_bytes: 2196098
      num_examples: 2001
  download_size: 300091
  dataset_size: 2196098

FDR Training Corpus

This dataset contains training material for creating Franklin Delano Roosevelt (FDR) language models and conversational agents.

Dataset Description

Purpose: Training data for LoRA fine-tuning to capture FDR's speaking style, vocabulary, and historical perspectives.

Content: Speeches, letters, fireside chats, press conferences, and other public communications from FDR's presidency (1933-1945).

License: CC0-1.0 (Public Domain) - All content is from historical public domain sources.

Usage

This dataset is designed for:

  • LoRA fine-tuning of language models
  • Training conversational AI agents with FDR's personality
  • Historical language model research
  • Educational applications

Data Structure

data/
├── speeches/          # Major speeches and addresses
├── fireside_chats/    # Radio addresses to the nation
├── letters/           # Personal and official correspondence  
├── press_conferences/ # Q&A sessions with press
└── misc/             # Other historical documents

Training Recommendations

LoRA Configuration:

  • Rank: 16
  • Alpha: 32
  • Dropout: 0.1
  • Target modules: q_proj, k_proj, v_proj, o_proj

Training Parameters:

  • Learning rate: 3e-4
  • Epochs: 3-5
  • Batch size: 2-4
  • Max sequence length: 512

Citation

When using this dataset, please acknowledge:

  • The historical nature of the content (1933-1945)
  • Public domain status of source materials
  • Purpose for educational/research use

Generated on: 2025-09-08