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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 | |
| [](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 <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](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 <https://github.com/protologue-org/protologue>. | |