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metadata
license: cc-by-4.0
language:
  - en
pretty_name: Protologue
size_categories:
  - n<1K
task_categories:
  - text-retrieval
  - question-answering
tags:
  - prompt-engineering
  - llm
  - glossary
  - taxonomy
  - definitions
  - ai-agents
  - retrieval-augmented-generation
configs:
  - config_name: terms
    data_files: data/terms.jsonl
    default: true
  - config_name: categories
    data_files: data/categories.jsonl

Protologue: a taxonomy of prompting and LLM techniques

DOI

Protologue is an openly licensed reference for the vocabulary of prompting and large language model techniques. Each entry has a permanent identifier, a standalone one-to-two-sentence definition, synonyms, broader, narrower and related links, and the primary source that introduced the technique.

This dataset mirrors version 1.2.2 (2026-10-14): 215 terms in 11 branches, including a Benchmarks branch, citing 214 primary sources. Every arXiv citation was checked against the paper for exact title and first author, and every documentation link was checked.

Configurations

  • terms (default): one row per term.
  • categories: the 11 branches and the terms in each.

Fields (terms)

Field Description
id Permanent identifier, e.g. PTL-0024. Never reused.
slug URL slug; links in broader, narrower and related use slugs.
term Preferred name.
aliases Synonyms and alternate names.
category Branch of the taxonomy.
definition Standalone definition, quotable on its own.
description Context, limitations and relations.
example Illustrative prompt, where useful.
broader, narrower, related Links to other entries (SKOS semantics).
introduced Year the technique was introduced.
sources Primary sources: title, authors, year, url. The first is the type source.
url Canonical page on protologue.com.
citation Ready-made citation for the entry.

Usage

from datasets import load_dataset
terms = load_dataset("franklinpolymathic/protologue", "terms", split="train")
print(terms[0]["term"], "-", terms[0]["definition"])

The same data is available live as JSON, CSV and SKOS at https://protologue.com/data/, and through a free MCP server for AI agents at https://mcp.protologue.com/mcp (see https://protologue.com/mcp/). It is also mirrored on Kaggle.

License and citation

Text and data are licensed under CC BY 4.0. When you use a definition, cite the entry's citation and link to its url. To cite the dataset:

Protologue. (2026). Protologue: A Taxonomy of Prompting and LLM Techniques (v1.2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23304106

The DOI is archived on Zenodo and always resolves to the latest release.

Corrections and suggestions: open an issue at https://github.com/protologue-org/protologue.