--- license: cc0-1.0 language: - en task_categories: - text-retrieval - text-generation size_categories: - 10K. **Free Law Project is a non-profit, and it is worth supporting: .** If this data is useful to you, credit Free Law Project and CourtListener too, and consider going straight to the source: CourtListener runs its own [API and MCP server](https://wiki.free.law/c/courtlistener/help/api). Full text of 23,480 Delaware appellate opinion documents from the public record, sliced from the Free Law Project / CourtListener bulk export of 2026-06-30. Court coverage (3 court ids, explicit allowlist — never prefix-matched): `del`, `delch`, `delorphct`. Lead opinions and separate opinions; documents under 1 characters excluded. Slice sha256 `be7d8ca6b221c8f3143498ca139e09f4eb3d9a2107b0ff16ed12f44c745a2599` (also in `slice.manifest.json`). ## Composition Measured on this exact slice: **17,449** documents (74.3%) carry 2,000+ characters of text, 2,309 (9.8%) carry 200-1,999, and 3,722 (15.9%) are under 200 characters. The short ones are real records, not errors: certiorari denials, one-line orders, and judgment entries. They are kept deliberately (min_chars = 1) so this is the complete public record rather than a filtered subset. Filter on `len(text)` if you want only substantive opinions. ## Format Rows follow **docketx record v1** (one opinion per line): `id`, `doc_type`, `jurisdiction`, `title`, `text`, `source`, `license`, `retrieved_at`, plus `citation`, `court`, `date`, and `extra` (CourtListener opinion/cluster ids, opinion type). The same format is used across every docketx dataset. ## Provenance and license Judicial opinions are edicts of government: uncopyrightable works of the public domain (*Banks v. Manchester*, 128 U.S. 244 (1888); *Georgia v. Public.Resource.Org*, 590 U.S. 255 (2020)). This packaging is released under CC0 1.0. Source: CourtListener bulk export (2026-06-30), Free Law Project — https://free.law. This dataset redistributes public-domain court text; it adds no annotation and asserts no rights. ## Load it ```python from datasets import load_dataset ds = load_dataset("docketx/us-caselaw-de") ``` Part of the DocketRouter legal corpora: https://huggingface.co/docketx