--- 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](https://zenodo.org/badge/DOI/10.5281/zenodo.23304106.svg)](https://doi.org/10.5281/zenodo.23304106) [Protologue](https://protologue.com) 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 ```python 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 , and through a free MCP server for AI agents at `https://mcp.protologue.com/mcp` (see ). It is also mirrored on [Kaggle](https://www.kaggle.com/datasets/protologue/protologue). ## License and citation Text and data are licensed under [CC BY 4.0](https://creativecommons.org/licenses/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](https://doi.org/10.5281/zenodo.23304106) and always resolves to the latest release. Corrections and suggestions: open an issue at .