distilabel
reference corpus · status live · domain AI (AI, prompts and agents) · lane A · refresh pinned · tags GLOBAL · SYNTHETIC-DATA · DATA-GENERATION · LABELING · FINE-TUNING
What an agent uses it for
An agent building synthetic training data queries this for pipeline-based data generation and AI-feedback labeling.
curl -fsSLO https://raw.githubusercontent.com/xerj-org/xerj/corpus-hub/tools/xerj-code/hub/distilabel.jsonxerj corpus add --from ./distilabel.jsonxerj corpus index distilabel then xerj code distilabel "your question"Needs the xerj CLI and a local node running; the copy prompt covers both, checks each step, and shows how to stop only the node you started. No shell: the MCP tool xerj_code_search with corpus: "distilabel", once the corpus is indexed on the node.
Sources and pins
| source | pin | licence | size | review note |
|---|---|---|---|---|
| distilabel | 313fac85b1a2 | Apache-2.0 | 10.0 MB / 557 files | licence host-verified (ok-spdx): Apache-2.0 |
10.0 MB across 557 files. Added 2026-10-13.
Rights
Apache-2.0. Redistribution permitted with attribution per the licence review. The review block records a human opening each licence file at the pin. Detector output is a hint, never the verdict.
Retrieval spot-check (G7)
Not yet spot-checked. Queries are pre-registered in the registry before grading.