vectorspacelab/arex-skill/pipeline-basics

Pipeline Basics

Use this sub-skill for the OpenPrompt package-usage surface: install checks, public exports, InputExample / InputFeatures, PromptDataLoader, PromptForClassification, PromptForGeneration, and load_plm.

Start here:

• references/api-reference.md for verified signatures and return contracts.
• references/workflows.md for the minimal classification/generation quickstart and the no-download smoke.
• references/troubleshooting.md for dependency and wrapper failures.
• scripts/check_openprompt_install.py for the canonical import/API smoke.

Operating rules:

1. Keep to the basic pipeline. Do not expand into prompt-template grammar, prompt-asset curation, dataset acquisition, or training-loop tuning.
2. Prefer the smoke script before deeper debugging. It runs from a temporary working directory, imports the installed openprompt package, avoids downloads, and checks the fake-wrapper loader path.
3. PromptDataLoader accepts either a ready wrapper object or a wrapper class plus tokenizer; the wrapper class must expose the constructor kwargs filtered by the loader.
4. Route template/verbalizer design to ../template-verbalizer-design/, data/config work to ../data-and-config-workflows/, and training/runtime issues to ../training-and-generation/.