| --- |
| pretty_name: Synthetic Decision triage demo fixtures |
| language: |
| - en |
| size_categories: |
| - n<1K |
| tags: |
| - advai-notebooks |
| - demo |
| - synthetic-data |
| task_categories: |
| - text-classification |
| configs: |
| - config_name: triage |
| data_files: |
| - split: train |
| path: data/triage/train.jsonl |
| - split: validation |
| path: data/triage/validation.jsonl |
| - split: calibration |
| path: data/triage/calibration.jsonl |
| - split: test |
| path: data/triage/test.jsonl |
| default: true |
| --- |
| |
| # widebluesky/wbs-decision-demo |
|
|
| ## Demo dataset v1 |
|
|
| Small, deliberately synthetic English fixtures used to train and evaluate the |
| corresponding tiny demo models from `advai-notebooks`. The records were authored |
| as repository fixtures, with no external benchmark or customer data source. |
| This dataset verifies engineering paths and data contracts; it does not establish |
| domain quality or independent generalization performance. |
|
|
| Original source files are preserved byte-for-byte under `source/`. JSONL views under |
| `data/` expose explicit subsets and splits through the Hugging Face Datasets library. |
| The views preserve original values and ordering within each split. |
|
|
| ## Configurations and splits |
|
|
| | Configuration | Split counts | |
| | --- | --- | |
| | triage | train: 12, validation: 4, calibration: 10, test: 4 | |
|
|
| ## Schema and split semantics |
|
|
| Each record contains `id`, `group_id`, `split`, `task`, `state` and `gold`. |
| `source/tasks.json` supplies questions, option definitions and output types. |
| The `triage` task has department (`choice`), urgency (`score`) and churn risk (`noul`). |
| Each of the 30 message records has three labels, for 90 individual decisions. |
| The 10 calibration records are separate from training, validation and test and are |
| used only to fit temperature scaling. Groups and identical states do not cross splits. |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("widebluesky/wbs-decision-demo", "triage", revision="demo-v1", token=True) |
| print(dataset) |
| ``` |
|
|
| These repositories are private. Use your existing Hugging Face login for access; |
| do not embed credentials in code or dataset files. Pin the dataset commit SHA for reproducibility. |
|
|
| For project-native file loading, download the dataset snapshot and point configuration |
| paths at its original `source/` files. The derived subsets are additional loading views. |
|
|
| ## Corresponding trained models |
|
|
| - [widebluesky/wbs-decision-demo](https://huggingface.co/widebluesky/wbs-decision-demo): verified training data fingerprint `2ed63814602e43b30c66678574f4808d06b3fd01e829eab4c06f039d16be4c11`. |
|
|
| ## Validation and provenance |
|
|
| Project validators checked IDs, schemas, references, labels, split groups and negative/candidate rules. |
| Dataset fingerprints match saved records from the runs that produced the published model weights. |
| The publication process reloads every subset locally and from a pinned Hub commit and compares all records. |
| Source file hashes, subset record fingerprints and model weight hashes are recorded in `dataset_manifest.json`. |
| Model weights, training state, logs and machine-specific paths are not included. |
|
|
| Source implementation commit: `f43a44e2431bae9d0451b445cc3bde5f1e2b8493`. |
|
|
