| --- |
| license: apache-2.0 |
| language: |
| - en |
| task_categories: |
| - text-generation |
| pretty_name: Compliment Forest SFT |
| size_categories: |
| - 1K<n<10K |
| tags: |
| - minicpm |
| - structured-generation |
| - synthetic-data |
| - positive-reframing |
| - build-small-hackathon |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| --- |
| |
| # Compliment Forest SFT |
|
|
| Compliment Forest SFT teaches a small language model to turn a `(name, situation)` |
| pair into a strict JSON forest of grounded encouragement. Each forest contains five |
| distinct creature-strength clearings, a situation-specific line, an agency-oriented |
| reflection, a short first-person spell, and a creature-only image prompt. |
|
|
| ## Dataset Size |
|
|
| - Train: 1,350 records |
| - Validation: 150 records |
| - Seed: 42 |
| - Language: English |
|
|
| Every row contains: |
|
|
| - `name` |
| - `situation` |
| - `source` |
| - `teacher_model` |
| - `messages`: MiniCPM-compatible system, user, and assistant chat messages |
|
|
| ## Construction |
|
|
| The released v1 records come from a deterministic synthetic formatting layer over |
| 50 hand-authored situations spanning work, study, moving, relationships, parenting, |
| creative work, wellbeing, grief-adjacent moments, money, social situations, and |
| leadership. |
|
|
| The data pipeline was informed and tested against: |
|
|
| - `SALT-NLP/positive_reframing` for growth, optimism, neutralizing, and impermanence |
| framing patterns. |
| - `Estwld/empathetic_dialogues_llm` for situation-grounded supportive register. |
| - `asuender/motivational-quotes` for short mantra analysis. |
|
|
| Cohere Command A was used during pilot synthetic generation. Its pilot outputs were |
| schema-validated and filtered, but no Cohere row passed the stricter final v1 |
| groundedness gate. The published v1 rows therefore use `source=template_coverage` |
| and have no teacher-model dependency. |
|
|
| ## Validation |
|
|
| The builder rejects: |
|
|
| - invalid or extra JSON fields; |
| - fewer than three or more than six proposed strengths; |
| - blank or overlong fields; |
| - spells that do not begin in the first person or exceed 12 words; |
| - crisis or acute-risk inputs; |
| - any clearing line that does not repeat at least one concrete situation term; |
| - duplicate `(name, situation)` identities. |
|
|
| The validation split is deterministic and disjoint. |
|
|
| ## Intended Use |
|
|
| This dataset is intended for supervised fine-tuning and evaluation of |
| `openbmb/MiniCPM5-1B` for The Compliment Forest hackathon project. It may also be |
| useful for experiments in small-model JSON adherence and supportive rewriting. |
|
|
| ## Limitations |
|
|
| The records are synthetic and structurally more regular than natural writing. They |
| are not clinical advice, therapy data, or a substitute for safety evaluation. The |
| runtime application adds a separate crisis guard and author-critic quality pass. |
|
|
|
|
