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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
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.