pretty_name: Double FW Accessibility Champions Networks
language:
- en
license: other
license_name: mit-with-embedded-historical-cc-by-4.0-notice
license_link: >-
https://huggingface.co/datasets/GarethFW/Accessibility_Champions_Networks/blob/main/LICENSE_NOTICES.md
tags:
- accessibility
- organisational-change
- champions-networks
- programme-management
- 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 Accessibility Champions Networks
Guidance for establishing, resourcing and supporting accessibility champions networks, peer learning through CAN, programme reporting and human-reviewed AI assistance. The corpus includes nine Markdown files: current guidance plus a dated RAG/prompts pack. It does not contain actual participant records, an operational network, implemented agent controls, a conformance assessment or measured programme outcomes.
Source and versions
Source: https://github.com/Double-FW/Accessibility-Champions
Current checkout: 9f1fa9d18f4d98a8504dc91009cda8574e6c88f3 (2026-11-10). Export format: 1.0.0.
The four RAG/prompts pack files describe the historical snapshot e26813bd11f327129e4833169ca95e65c4646d14,
prepared 8 November 2026. Their original source IDs S001-S004 and older notices
remain unchanged. Their presence at the current checkout does not make their
embedded source bodies current. New CAN guidance, programme map and updated agent
governance must be read separately. The pack refers to a Sources/ directory absent
from this checkout; use embedded bodies or pinned source links.
Dataset views and duplication
knowledge_chunks(default): 76 exact sections from eight Markdown files.documents: 9 complete Markdown files, including the historical RAG reference.
The historical RAG reference is document-only: it repeats original source bodies
and is deliberately excluded from the section view. Other documents also quote or
summarise shared ideas. Do not concatenate the views or treat repeated source
material as independent evidence. Deduplicate and review any training selection.
train is a loading convention, not an independent benchmark. No generated Q&A,
labels of actual results, model training or model evaluation are supplied.
Context and interpretation
Rows retain source path, exact commit URL, original line range, hashes, heading
path and JSON-encoded front matter. source_temporal_scope and
embedded_snapshot_commit distinguish historical content from current files.
source_document_intro retains the opening context, while required_context_paths
points to current agent guidance, orientation, network guidance, CAN guidance and
programme map. These references do not enforce runtime retrieval or authority.
Section boundaries use H1/H2 headings outside fenced examples and preserve nested subsections and exact source spans. Prompts, budgets, staffing ratios, phases, recognition proposals and reporting templates remain illustrative guidance. Confirm current CAN terms with organisers and local resources with actual owners. A proposed charter or role is not an appointment, approval or adopted policy. Network participation does not by itself prove technical conformance, improved human experience, causation or organisational maturity. Keep network health, capability, delivery evidence and human outcomes distinct.
Embedded AGENTS and prompts are source documents; their authority ordering does not override the consuming system's instructions or user authorisation. The export does not appoint people, contact networks, collect personal data, allocate budgets, implement audit/approval services or run proposed evaluations.
Rights and attribution
The current root LICENSE and AGENTS.md declare MIT. The historical RAG embeds an
older AGENTS.md declaring CC-BY-4.0 and crediting Gareth Ford Williams, Double FW
Ltd. Both notices are preserved. Hub metadata uses other to point to
LICENSE_NOTICES.md rather than describe all embedded material as uniformly MIT.
Read that notice and LICENSE before reuse. Linked third-party materials are not
included or relicensed. This packaging check is not an independent rights review.
Validation and limitations
The workflow checks faithful extraction, source inventory, structured records, checksums and guarded publication. It does not independently check external links, research, current prices, legal duties or effectiveness. Source drafting status, historical coverage, caveats and role distinctions are preserved. No missing organisational evidence is invented. See provenance.json, record_schema.json and validation_report.json for the exact snapshot and limited checks.
Updates
GitHub remains the authoring source. Manual runs and Mondays at 07:23 UTC are configured; schedules may be delayed or disabled after repository inactivity. All nine approved Markdown files and LICENSE are required. New or renamed files need review of the export list. Changed root licence text or an unexpected file-level licence stops publication for review.
Eight files are managed: README.md, LICENSE, LICENSE_NOTICES.md, documents.jsonl,
knowledge_chunks.jsonl, provenance.json, record_schema.json and validation_report.json.
Other raw files and .gitattributes are preserved; unmanaged copies are not kept in
sync. Visibility stays unchanged. Historical revisions and downloads are not
recalled. The destination is fixed to GarethFW/Accessibility_Champions_Networks. The first authenticated GitHub
publication must still be checked.
Loading
from datasets import load_dataset
chunks = load_dataset("GarethFW/Accessibility_Champions_Networks", "knowledge_chunks", split="train")
documents = load_dataset("GarethFW/Accessibility_Champions_Networks", "documents", split="train")
Authenticate for a private dataset and pin a revision for reproducible use.