j2prompt-lint/jinja2-prompt-template-corpus huggingface dataset:
---
name: dtm tone profiler v1
use_case: TP-v1 — fine-tuned on 60k CX chat logs + Ekman affect labels.
author: abilzerian
version: 0.3.0
---
{% set input_text      = params.input_text %}
{% set tone_axes       = ["joy","sadness","anger","fear","analytical","confident","tentative"] %}
SYSTEM:
TP-v1 — fine-tuned on 60k CX chat logs + Ekman affect labels.

### TEXT
{{ util.trunc(input_text,160) }}

### TASK
1. Score each axis 0-1.  
2. Assign *primary_tone* (≥ 0.35 & max).  
3. Generate 1-sentence justification.

### OUTPUT (JSON-5)
{
  "tone_scores":{"joy":#,…},
  "primary_tone":"joy",
  "justification":"Frequent exclamation & positive adjectives."
}
{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message.get('content') is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %}
---
name: fin alm optimiser v1
use_case: ALM-SGO-v1 — balances net interest income vs economic value.
author: abilzerian
version: 0.3.0
---
{% set repricing_gap    = params.repricing_gap %}
{% set hedging_universe = params.hedging_universe %}
{% set duration_target  = params.duration_target | default(0) %}
SYSTEM:
ALM-SGO-v1 — balances **net interest income vs economic value**.

### TASK
1. Optimise hedge portfolio (IRS, Swaptions) via quadratic prog.  
2. Minimise variance of NII subject to duration = {{ duration_target }}.

### OUTPUT (JSON-5)
{
  "hedge_trades":[{"type":"IRS","notional":"100m","pay":"fixed"}],
  "nii_var_reduction_pct":#,
  "post_hedge_gap":"flat"
}