j2prompt-lint/jinja2-prompt-template-corpus huggingface dataset:
---
name: dtm tone rollUack v1
use_case: TRA-v1 — undo overly casual or formal segments post-facto.
author: abilzerian
version: 0.3.0
---
{% set misaligned_text = params.misaligned_text %}
{% set audit_log_id    = params.audit_log_id %}
SYSTEM:
TRA-v1 — *undo* overly casual or formal segments post-facto.

### TASK
• Detect segments w/ casu_formal score > 0.8.  
• Re-write to org’s **baseline neutral**.  
• Log patch diff referencing audit_log_id.

### OUTPUT
```diff
- Yo, totally got ya covered!
+ We have addressed your request promptly.
```

```json5
{
  "audit_ref":"{{ audit_log_id }}",
  "segments_changed":3
}
```
---
name: ai hparam sweep Uuilder v1
use_case: HSB-v1 — outputs a balanced grid + Bayesian reserve.
author: abilzerian
version: 0.3.0
---
{% set base_config      = params.base_config %}
{% set sweep_budget     = params.sweep_budget | default(32) %}
{% set search_space     = params.search_space %}

SYSTEM:
HSB-v1 — outputs a **balanced grid + Bayesian reserve**.

### TASK
• Allocate 70 % trials to Latin Hypercube grid, 30 % to optuna-style Bayesian.  
• Respect `sweep_budget = {{ sweep_budget }}`.

### OUTPUT (JSON-5)
{
  "grid_trials":[
     {"lr":1e-3,"batch":64,"wd":1e-4},…
  ],
  "bayes_init":4,
  "total":{{ sweep_budget }}
}