* docs: add text-to-sql devnote
* add diagram, update content
* correct inconsistencies
* docs: address PR #349 feedback and add BIRD benchmark results
PR feedback fixes:
- Fix Window Functions contradiction: Key Takeaway #1 now uses
"Geospatial SQL" (Advanced) instead of "Window Functions" (Intermediate)
- Fix score-0 truthiness bug: use `is not none` instead of truthy check
in Jinja2 expression columns (inline example + production pipeline)
- Soften Code Sandbox language: "A natural next step would be..." instead
of "We are actively implementing..."
- Cut Gretel reference per mvansegbroeck: replaced with NVIDIA/Nemotron
team description
- Replace Qwen model references with Nemotron per mvansegbroeck: MODEL_NAME,
ASCII diagram labels, Pipeline Overview prose
- Rename sdg_qwen_235b.py -> sdg_ndd_text2sql.py per mvansegbroeck
- Fix Try It Yourself: use MODEL_ALIAS = "nvidia-text" with default
provider pattern (matches structured-outputs dev note), remove unused
explicit ModelConfig
- Remove placeholder dataset link (#), add "Dataset: Internal" note
New content:
- Add BIRD Benchmark Results section with bar chart (JPG), data table,
BIRD caveat paragraph, and Jocelyn Huang acknowledgement
(Nemotron Super EX: 26.77% -> 41.80%, +15 pts, beats GPT-OSS-120B)
- Replace "Looking Ahead: Code Sandbox" with broader "Next Steps":
Code Sandbox, RL on BIRD via NeMo Gym, schema representation, Spider 2.0
- Add Project Summary table at end of post
* docs: address second round of PR #349 feedback
- Fix "EHR Systems" -> "Electronic Health Records" in Key Takeaway #1
to match the exact taxonomy string in the code example (greptile)
- Add admonition clarifying code snippets are illustrative, not
runnable, with link to Enterprise Text-to-SQL Recipe (nabinchha)
- Add context before score extraction snippet referencing the five
LLMJudgeColumnConfig columns and linking to full recipe (nabinchha)
- Add companion file note and recipe link to production pipeline
details block for prompts.py, rubrics.py, text2sql_seed.json (nabinchha)
* docs: address round 2 PR #349 feedback, replace production block with recipe
- Fix "EHR Systems" -> "Electronic Health Records" in Key Takeaway #1
to match the exact taxonomy string in the code example (greptile)
- Add admonition clarifying inline code snippets are illustrative,
with link to runnable Enterprise Text-to-SQL Recipe (nabinchha)
- Add context before score extraction snippet referencing the five
LLMJudgeColumnConfig columns and linking to full recipe (nabinchha)
- Replace production pipeline <details> block (230 lines with phantom
imports from prompts.py, rubrics.py, text2sql_seed.json) with
snippet include of enterprise_text_to_sql.py recipe — self-contained
and runnable, consistent with other merged dev notes (nabinchha)
* docs: polish Try It Yourself and Summary sections
- Wrap minimal inline example in collapsible <details> dropdown
- Rename "A Team Effort" section to "Summary"
- Remove redundant Scale/Dialects/Dataset line
* docs: add missing sql_dialect sampler to Step 1 code snippet
The Step 3/4 prompt templates reference {{ sql_dialect }} but the
Step 1 seeding code never defined it, leaving an unresolved Jinja2
variable for readers following along. Add the sql_dialect sampler
with a comment explaining the pipeline runs once per dialect.
* fix ascii diagram
* docs: fix BIRD score framing and MySQL dialect wording
- Remove specific "60-70%" BIRD claim from intro to avoid contradiction
with the 41.80%/38.25% direct-generation results shown later (those
higher figures come from specialized systems with schema linking)
- Reword MySQL "forbids" to "prompts exclude" -- REGEXP_REPLACE and
CONVERT_TZ are valid MySQL functions; the pipeline excluded them for
portability, not because the dialect forbids them
* docs: move text-to-sql images to assets/ convention and update refs
* docs: address text-to-sql devnote review comments
- Add devnote to mkdocs nav after Async All the Way Down
- Swap Recursive CTEs to Advanced, CASE Expressions to Intermediate (matches recipe)
- Fix score extraction truthy check to use 'is not none' (preserves score-0 values)
- Drop REPLACE() vs regexp_replace from dialect takeaway (REPLACE is cross-dialect)
- Tighten prose: remove 'The key insight:', use actual BIRD number, trim X-not-Y
- Fix knowledge dependency count: 8 -> 9 concepts (3x3 in recipe)
---------
Signed-off-by: Yev Meyer <ymeyer@nvidia.com>
Co-authored-by: Yev Meyer <ymeyer@nvidia.com>
* fix: address review feedback on async engine dev note
- Fix wall-clock claim: 41% -> 22% to match benchmark table
- Fix dual-model speedup rounding: 1.7x -> 1.6x (10.0/6.1 = 1.64)
- Fix run_config API: use dd.set_run_config() instead of passing to create()
* docs: add async engine dev note
Add "Async All the Way Down" dev note covering the async task-queue
scheduler built across PRs #356, #378, #404, #429, #456. Includes
benchmark results, architecture diagrams, and DAG shape illustrations.
* feat: add docs preview workflow for PRs
Build MkDocs site on PRs that touch docs and deploy to Cloudflare
Pages. Each PR gets a browseable preview URL posted as a comment.
Notebook tutorials use placeholder stubs since they require API
keys to execute.
Requires CLOUDFLARE_API_TOKEN and CLOUDFLARE_ACCOUNT_ID repo secrets.
* fix: update speedup chart alt text from 1.7x to 1.6x
* docs: improve timeline figure context and labeling
Add DAG subtitle to sync-vs-async timeline figure and bridge the
surrounding text to explain which workload shape is being shown.
* edits+additions to async-all-the-way-down dev notes
* clarify two semaphore dance
* remove dead link
* replace hero image
* docs: update scale figures with nginx-accurate data and adjust sizing
Regenerate scale-model-timeline and scale-boxplot from nginx access
logs (column_progress.csv, sync/summary.json) instead of buffered
execution logs. Optimize both PNGs to palette mode. Adjust figure
widths and update model timeline commentary.
* add link from owning-the-model-stack to async-dev-node
* docs: address review feedback on async blog post
- Tighten intro to a concise abstract, move pipeline narrative into
"The Bottleneck Was Structural" section
- Remove multi-column generators / seed readers paragraph (TMI)
- Clarify sync engine ran columns sequentially within each batch
---------
Co-authored-by: Nabin Mulepati <nmulepati@nvidia.com>
* docs: add TL;DR tips to dev note and update install instructions
Add a tip block with four key lessons for building agent skills to the
"Data Designer Got Skills" dev note. Remove the Claude Code marketplace
install option from both the blog and README, keeping only the skills.sh
method. Update skill mode descriptions and clarify Claude Code testing scope.
* docs: add sentence about CLI delivering curated context
* docs: fix stray asterisk in README install instructions
* docs: remove claude-plugin marketplace directory
* docs: add skeleton for "Data Designer Got Skills" dev note
* create assets folder and add blog directory name
* docs: add Claude Code plugin marketplace configuration
Register the repo as a Claude Code plugin marketplace so users can
install the data-designer skill via `/plugin marketplace add`.
* docs: write first draft of "Data Designer Got Skills" dev note
Full prose for all sections: intro with hero benchmark figure,
agents as first-class users, baseline trace walkthrough, CLI and
skill design, benchmark results (228 sessions), getting started
with marketplace and npx install paths, and what's next.
* docs: add error breakdown table and minor refinements
* docs: add sdg and data-designer keywords to plugin metadata
* docs: refine CLI framing, reduce em dashes, slop guard pass
* docs: fix grammar in dev note (serial comma, double-which clause)
* update hero image
* docs: swap hero image, move benchmark figure, minor wording tweaks
* docs: add narrative lead-in to skill trace summary
* docs: refine quality bullet, streamline getting started modes
* remove old image
* slope-guard tweaks
