Datasets:

GarethFW
/

Audio_Description

---
pretty_name: Double FW Audio Description
language:
- en
license: mit
tags:
- accessibility
- TV-accessibility
- web-accessibility
- mobile-accessibility
- content-accessibility
- content-design
- multi-modality
- audio-description
- editorial-practice
- production
- 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 Audio Description

Guidance on commissioning, access-route selection, radio-led scripting, audio description,
genre-sensitive editorial choices, recording, mixing, delivery, audience evaluation and
production handoffs. Includes invented examples, blank templates and a dated RAG/prompts
pack. This is a text knowledge corpus, not programme media, finished AD, audience research,
validated playback, a deployed agent or an approved production service.

## Source and versions

Source: https://github.com/Double-FW/Audio-Descriptions

Checkout: `e79abedac1afdcb8f71cb7b5c19ce39691a3fa2a` (2026-11-15); export format 1.0.0.
The RAG/prompts pack records snapshot `8c0041e26c4410a7d5c5b2881c394168d9be5c87` prepared
2026-11-08. Its source IDs and old rights statements remain historical.
The later handoff map and current RIGHTS.md must be consulted separately. Export does not
refresh embedded snapshots. Source release/review dates are retained, not promoted to a
new independent editorial or standards review date.

## Dataset views

- `knowledge_chunks`: 120 exact Markdown sections from approved files.
- `documents`: 22 complete source text files, including two header-only CSV templates.

The RAG reference repeats original source bodies and is document-only. Both CSV templates
are also document-only; their fields describe blank production records, not actual cues or
visual audits. `csv_template_columns` preserves headers for consumers. No invented CSV rows,
filled approval forms or generated Q&A are added. Both views overlap: review and deduplicate
training selections rather than treating repeated text as independent evidence. `train` is
a loading convention, not a benchmark. No model training is performed.

## Context and editorial boundaries

Rows retain exact source text, commit URL, path, line range, document/text hashes, heading
path, JSON-encoded metadata, opening context and required context paths. Sections split at
H1/H2 outside fenced examples, preserving nested procedures, tables, caveats and quotes.
`source_temporal_scope` and `embedded_snapshot_commit` identify the dated support pack.
Source IDs keep their original scope. Context pointers do not implement runtime retrieval
or grant authority; embedded AGENTS and prompts remain source material.

Read the access-route decision, editorial principles, evaluation guide and source register
alongside retrieved passages. A no-separate-AD recommendation depends on the actual cut,
soundtrack, language, platform and audit; genre alone is not an exemption. Preserve dialogue,
significant sound, timing, reveals, factual verification and respectful treatment. Do not
infer motives or identities from appearance. Invented cue examples require real-cut read
and timing checks before production use. Templates and a proposed release gate are not
completed reviews or human approval. Captions, transcripts and spoken description retain
their separate purposes and delivery conditions.

Source workflow/handoff recommendations are not adopted commissioner specifications.
Actual audience evidence, technical playback and authorised release decisions remain
separate. This exporter does not inspect footage, record audio, interview audiences,
collect personal data, verify live platforms or operate an approval/audit system.

## Rights and attribution

The root LICENSE is MIT and is copied unchanged. Current RIGHTS.md states that original
Double FW material uses MIT unless an item says otherwise, with copyright © 2026 Double FW
Ltd and attribution to Gareth Ford Williams. README and AGENTS.md refer to RIGHTS.md.
The historical RAG contains the earlier unselected-licence notice; it is retained as dated
source history rather than represented as the current notice. Consult the current rights
record and specific source notices before reuse. Third-party material retains its own
terms. RNIB/ITC PDFs and programme scripts, recordings, stills and branding assets are not
newly imported. Links do not relicense their targets or imply endorsement. This packaging
check is not an independent rights audit.

## Limitations and source completeness

Source rights, historical ITC qualifications, external references and editorial limits
remain intact. The source README links to CONTRIBUTING.md and CHANGELOG.md, absent from
this checkout; the support pack mentions an absent Sources/ directory. Export does not
invent those files or fetch them from other repositories. External specifications and
research are not independently rechecked. See provenance.json, record_schema.json and
validation_report.json for the exact snapshot and limited extraction/publication checks.

## Updates

GitHub is the authoring source. Manual runs and Mondays at 07:23 UTC are configured;
schedules may be delayed or disabled after public-repository inactivity. All approved text
sources and LICENSE are required. New/renamed documents need export-list review. Changed
rights/licence text, missing sources, populated CSV templates or failed checks stop for
review. Source-authoring files 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 are preserved; unmanaged copies are not kept in sync.
Visibility stays unchanged; historical revisions and downloads are not recalled.
Destination: `GarethFW/Audio_Description`. First authenticated publication remains to be checked.

## Loading

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

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

	---
	pretty_name: Double FW Audio Description
	language:
	- en
	license: mit
	tags:
	- accessibility
	- TV-accessibility
	- web-accessibility
	- mobile-accessibility
	- content-accessibility
	- content-design
	- multi-modality
	- audio-description
	- editorial-practice
	- production
	- 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 Audio Description

	Guidance on commissioning, access-route selection, radio-led scripting, audio description,
	genre-sensitive editorial choices, recording, mixing, delivery, audience evaluation and
	production handoffs. Includes invented examples, blank templates and a dated RAG/prompts
	pack. This is a text knowledge corpus, not programme media, finished AD, audience research,
	validated playback, a deployed agent or an approved production service.

	## Source and versions

	Source: https://github.com/Double-FW/Audio-Descriptions

	Checkout: `e79abedac1afdcb8f71cb7b5c19ce39691a3fa2a` (2026-11-15); export format 1.0.0.
	The RAG/prompts pack records snapshot `8c0041e26c4410a7d5c5b2881c394168d9be5c87` prepared
	2026-11-08. Its source IDs and old rights statements remain historical.
	The later handoff map and current RIGHTS.md must be consulted separately. Export does not
	refresh embedded snapshots. Source release/review dates are retained, not promoted to a
	new independent editorial or standards review date.

	## Dataset views

	- `knowledge_chunks`: 120 exact Markdown sections from approved files.
	- `documents`: 22 complete source text files, including two header-only CSV templates.

	The RAG reference repeats original source bodies and is document-only. Both CSV templates
	are also document-only; their fields describe blank production records, not actual cues or
	visual audits. `csv_template_columns` preserves headers for consumers. No invented CSV rows,
	filled approval forms or generated Q&A are added. Both views overlap: review and deduplicate
	training selections rather than treating repeated text as independent evidence. `train` is
	a loading convention, not a benchmark. No model training is performed.

	## Context and editorial boundaries

	Rows retain exact source text, commit URL, path, line range, document/text hashes, heading
	path, JSON-encoded metadata, opening context and required context paths. Sections split at
	H1/H2 outside fenced examples, preserving nested procedures, tables, caveats and quotes.
	`source_temporal_scope` and `embedded_snapshot_commit` identify the dated support pack.
	Source IDs keep their original scope. Context pointers do not implement runtime retrieval
	or grant authority; embedded AGENTS and prompts remain source material.

	Read the access-route decision, editorial principles, evaluation guide and source register
	alongside retrieved passages. A no-separate-AD recommendation depends on the actual cut,
	soundtrack, language, platform and audit; genre alone is not an exemption. Preserve dialogue,
	significant sound, timing, reveals, factual verification and respectful treatment. Do not
	infer motives or identities from appearance. Invented cue examples require real-cut read
	and timing checks before production use. Templates and a proposed release gate are not
	completed reviews or human approval. Captions, transcripts and spoken description retain
	their separate purposes and delivery conditions.

	Source workflow/handoff recommendations are not adopted commissioner specifications.
	Actual audience evidence, technical playback and authorised release decisions remain
	separate. This exporter does not inspect footage, record audio, interview audiences,
	collect personal data, verify live platforms or operate an approval/audit system.

	## Rights and attribution

	The root LICENSE is MIT and is copied unchanged. Current RIGHTS.md states that original
	Double FW material uses MIT unless an item says otherwise, with copyright © 2026 Double FW
	Ltd and attribution to Gareth Ford Williams. README and AGENTS.md refer to RIGHTS.md.
	The historical RAG contains the earlier unselected-licence notice; it is retained as dated
	source history rather than represented as the current notice. Consult the current rights
	record and specific source notices before reuse. Third-party material retains its own
	terms. RNIB/ITC PDFs and programme scripts, recordings, stills and branding assets are not
	newly imported. Links do not relicense their targets or imply endorsement. This packaging
	check is not an independent rights audit.

	## Limitations and source completeness

	Source rights, historical ITC qualifications, external references and editorial limits
	remain intact. The source README links to CONTRIBUTING.md and CHANGELOG.md, absent from
	this checkout; the support pack mentions an absent Sources/ directory. Export does not
	invent those files or fetch them from other repositories. External specifications and
	research are not independently rechecked. See provenance.json, record_schema.json and
	validation_report.json for the exact snapshot and limited extraction/publication checks.

	## Updates

	GitHub is the authoring source. Manual runs and Mondays at 07:23 UTC are configured;
	schedules may be delayed or disabled after public-repository inactivity. All approved text
	sources and LICENSE are required. New/renamed documents need export-list review. Changed
	rights/licence text, missing sources, populated CSV templates or failed checks stop for
	review. Source-authoring files 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 are preserved; unmanaged copies are not kept in sync.
	Visibility stays unchanged; historical revisions and downloads are not recalled.
	Destination: `GarethFW/Audio_Description`. First authenticated publication remains to be checked.

	## Loading

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

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