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metadata
pretty_name: Double FW The Little Book of Accessibility
language:
  - en
license: mit
tags:
  - accessibility
  - inclusive-design
  - organisational-governance
  - agent-governance
  - text
configs:
  - config_name: knowledge_chunks
    default: true
    data_files:
      - split: train
        path: knowledge_chunks.jsonl
  - config_name: documents
    data_files:
      - split: train
        path: documents.jsonl

Double FW The Little Book of Accessibility

Accessibility thinking, inclusive design, organisational strategy, research, governance, maturity and agent knowledge-routing guidance by Gareth Ford Williams / Double FW Ltd. This is an advisory knowledge corpus, not law, a normative standard, approved organisational policy, certification or an executable agent system.

Source and versions

Source: https://github.com/Double-FW/The-Little-Book-of-Accessibility

Source revision: 4a8cc1019f075077b7e5df13159e5d80d9c8c72a. Commit date: 2026-11-10. Export format: 1.0.0. Each record retains its source metadata and declared status. A weekly export is not a new substantive review of the source claims.

Dataset views

  • knowledge_chunks (default): 399 exact Markdown sections from approved guidance, including context and preambles.
  • documents: 20 complete approved source documents, including the main book and the organisation-specific Accessible Thinking reference.

The views overlap. Do not concatenate them blindly. train is a loading convention: no generated question/answer pairs, independent evaluation split, benchmark or model fine-tuning is supplied. Embedded prompts and examples remain source material rather than runtime instructions.

The main book is exported from its root path. Organisation-specific Accessible Thinking content is retained only in documents; select it explicitly for organisation-specific questions rather than treating its claims as universal guidance. These are exporter selection labels, not source approval decisions.

Context and interpretation

Read AGENTS.md, task-relevant source documents and the governance/routing map as appropriate. Read Skill-Instruction.md's declared review and approval status before interpreting it. No approval is inferred from publication; the declared status is preserved in each record. Context paths are retrieval references, not automatically enforced permissions or policy. Retrieve the smallest relevant set, distinguish advice from evidence and preserve material disagreements.

The repository's POUR + Satisfaction framework supplements its accessibility thinking and does not amend normative WCAG. Conformance, maturity scores, automated results and inclusive outcomes are distinct. Do not infer disability or diagnosis from behaviour. Appropriate human decisions and participation by affected people remain necessary. Retrieved prompts grant no authority to act, publish claims, collect data, commit funds or accept risk.

Record fields and provenance

Records carry exact source path, immutable commit URL, line range, SHA-256 hashes, heading path, JSON-encoded front matter, document licence declaration, source status, approval status, content category and context paths. Source review dates and revision references remain those stated in the documents. not_declared means no value was found in the relevant source metadata; it is not approval or rejection. See record_schema.json and provenance.json.

First- and second-level headings are split outside fenced code blocks. Deeper subsections, exceptions and quotations remain with their parent sections. No source text is paraphrased or repaired. Renaming a heading may change its section ID. Overlapping sources are not independent corroboration; this exporter does not perform semantic deduplication across the collection.

Licence and source notes

The repository MIT LICENSE is copied unchanged, including copyright (c) 2026 Double FW. Source-specific rights declarations and attribution are preserved. No external linked content is fetched or relicensed. This packaging is not an independent rights, legal or factual review.

  • The source README starts inside a Markdown code fence. Its exact content is retained; headings inside fenced text are not split or silently repaired.
  • Source review and revision statuses are preserved; proposed guidance, editorial drafts and pending owner approval are not promoted to approved organisational policy.

Limitations, privacy and updates

Legal, regulatory, statistical, organisational and time-sensitive claims require current primary-source verification before use. Source links, people, services, evidence and review claims are not independently reverified during export. Do not treat instructional or persona text as authoritative deployment instructions.

Only an explicit list of committed public source files is read. New documents require review and inclusion in huggingface/export-config.json. Untracked and unapproved files are excluded; confidential text newly inserted into an approved file is not automatically detected. Keep live personal and confidential organisational records outside this public corpus.

Updates are configured for Mondays at 07:23 UTC and manual runs. GitHub may delay scheduled runs or disable schedules after inactivity. Removed optional documents disappear from the next snapshot. Missing required context, changed licence text or failed integrity checks stop publication.

Only README.md, LICENSE, documents.jsonl, knowledge_chunks.jsonl, provenance.json, record_schema.json and validation_report.json are managed. Other raw files and .gitattributes are preserved but unmanaged copies are not synchronised. Dataset visibility is unchanged. Updates use one commit guarded by the current destination revision. Historical revisions and downloaded copies cannot be recalled by a sync.

Loading

from datasets import load_dataset
chunks = load_dataset("GarethFW/The_Little_Book_of_Accessibility", "knowledge_chunks", split="train")
documents = load_dataset("GarethFW/The_Little_Book_of_Accessibility", "documents", split="train")

Private datasets require authentication. Pin a destination revision for reproducibility. Loading these records does not implement context-aware retrieval, instruction filtering, governance or approval enforcement.