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metadata
pretty_name: Double FW Accessible Charts Graphs and Maps
language:
  - en
license: mit
tags:
  - accessibility
  - design
  - UX
  - web-accessibility
  - mobile-accessibility
  - charts
  - maps
  - data-visualisation
  - inclusive-design
  - 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 Accessible Charts, Graphs and Maps

Practical guidance on independent understanding, investigation, comparison, decisions and action through charts, maps, complex diagrams and dynamic graphics. Covers complementary presentations, shared data/state, functional needs, statistical meaning, interaction, semantics, privacy, testing and comparable outcomes. This is a text knowledge corpus, not a graphic/data library, implemented interface, validated user study or compliance certificate.

Source and versions

Source: https://github.com/Double-FW/Accessible_Charts_Graphs_and_Maps

Checkout: 33e7aabf83086a0678ecd72a47c773da88e2d2ce (2026-11-15); export format 1.0.0. Original guide version, date, metadata, qualifications and source text remain unchanged. Export does not make the guidance newly peer-reviewed or reverify external standards, legal scope or linked resources. No linked repository content is automatically imported.

Dataset views

  • knowledge_chunks: 39 exact H1/H2 Markdown sections from three source documents.
  • documents: 3 complete Markdown source documents.

These views overlap; do not concatenate them as independent training examples or evidence. No synthetic Q&A, actual participant observations, chart fixtures, benchmark or model training is supplied. train is a dataset loading convention. Worked examples and proposed test outcomes remain illustrative guidance rather than labels of successful product behaviour.

Retrieval context and traceability

Sections preserve nested headings, tables, fenced evidence templates, caveats and exceptions without rewriting the source. Every row carries exact source path/commit URL, line range, text/document hashes, heading path, JSON-encoded metadata, opening context and required context paths. source_context_sections_json attaches complete purpose, principles, functional-needs, testing, measurement and release sections to guide rows. proposed_test_ids records original T01–T31 identities where the exact catalogue appears; rows retain methods and expected outcomes. Context pointers and source agent guidance are not implemented runtime enforcement or authority.

Interpretation and outcome boundaries

Keep visual, textual, tabular, spatial, auditory and interactive routes consistent in data, units, definitions, caveats, uncertainty, suppressed/missing values, freshness, permissions, filters, selections and export scope. Alternative formats should preserve meaningful exploration and action, not merely supply a data dump or editorial summary. Comparable independence, accuracy, effort, time and confidence require actual scoped evidence.

The functional-needs framing, including combined needs, photosensitivity/motion and privacy, is design guidance and does not determine legal applicability or diagnose individuals. Preserve standards requirements, guide recommendations, acceptance criteria, heuristics, findings and unknowns as distinct. Do not turn conditional thresholds or source recommendations into universal legal duties, infer ability from diagnosis, or require disclosure for an alternative presentation.

The source proposes 31 tests spanning information parity, keyboard/pointer, AT, display, motion, live updates, spatial tasks, exports, recovery and privacy. Their methods are complementary; automation does not replace manual review or user outcomes. These tests are not executed by the exporter. Worked examples are design scenarios; release checkboxes and an evidence template do not establish completed testing, configured owners, legal approval or real release readiness. No production service, route decision, geolocation access, external publication or personal-data collection is authorised or performed by retaining those source instructions.

Licence and limits

The root MIT LICENSE is copied unchanged, including copyright (c) 2026 Double FW. Source attribution, links and qualifications remain intact. Third-party material retains its own terms; links do not relicense their targets and external full text is not fetched. Extraction checks do not independently validate legal facts, research, rights, numerical design thresholds, real interface accessibility or audience equivalence. See record_schema.json, provenance.json and validation_report.json for the precise snapshot and limited checks.

Updates

GitHub is the authoring source. Manual runs and Mondays at 07:23 UTC are configured; GitHub may delay schedules or disable them after public-repository inactivity. All three Markdown documents and LICENSE are required. New/renamed sources need export-list review. Missing required sources, changed licence text, changed test/context mapping or failed checks stop publication. Source-authoring documents are not rewritten.

Seven destination files are managed: README.md, LICENSE, documents.jsonl, knowledge_chunks.jsonl, provenance.json, record_schema.json and validation_report.json. Other raw files and .gitattributes remain; unmanaged copies are not kept in sync. Visibility stays unchanged. Historical versions/downloads are not recalled. Destination: GarethFW/Accessible_Charts_Graphs_and_Maps. First authenticated publication remains to be checked.

Loading

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

Authenticate for a private dataset and pin a revision for reproducible use.