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| license: apache-2.0 | |
| language: | |
| - en | |
| task_categories: | |
| - text-classification | |
| size_categories: | |
| - n<1K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train.jsonl | |
| - split: validation | |
| path: data/validation.jsonl | |
| # Commitment statements — synthetic pilot | |
| Small assistant-authored English statements for an experimental binary | |
| commitment/decision classifier. Released for reproducibility, not as an | |
| independently collected benchmark. | |
| - Training: 118 rows, 59 per label. | |
| - Validation/development: 14 rows, 7 per label. | |
| - The original 16-row test set is deliberately not distributed or evaluated. | |
| - Related contrastive families were kept together during the original split; | |
| all 48 extension rows were appended only to training. | |
| - Exact text, ID and group overlap was checked. Semantic topic independence | |
| is not guaranteed. | |
| ## Labels | |
| `DECISION_EXPRESSED` means an affirmed chosen course of action, firm intention | |
| or commitment. Choosing not to act and explicitly reported past choices count. | |
| `NO_DECISION_EXPRESSED` covers preferences, requests, questions, possibilities, | |
| predictions, example quotations and completed-action reports without an expressed | |
| choice. This is a broad commitment definition, not a complete logging policy. | |
| ## Authorship and review | |
| The first pilot contained 100 assistant-authored statements in contrastive | |
| families. An extension added 48 fictional, newly worded statements inspired by | |
| structural patterns in a user-provided decision log. The source log, names, | |
| paths, entry identifiers and project-specific measurements are not included. | |
| The extension was authored after inspecting development errors. | |
| The user accepted proceeding after data validation. This is not a claim of | |
| independent expert annotation or review of each label. Original | |
| `review_status: human-review-pending` fields are retained for provenance rather | |
| than rewritten as expert-approved ground truth. | |
| Extra fields on extension rows, including `settled_outcome_candidate`, are | |
| proposed review annotations, not separately validated training targets. Some | |
| rows lack these fields; consumers should treat them as optional. Training uses | |
| only `text` and `label`. | |
| ## Load | |
| ```python | |
| from datasets import load_dataset | |
| data = load_dataset("TwilightTechie/commitment-statements-pilot") | |
| print(data["train"][0]) | |
| ``` | |
| ## Limitations and intended use | |
| Use for reproducing the small pipeline and learning experiment. Do not use | |
| validation metrics as estimates of real-world reliability. It is short English | |
| text with limited topic and wording diversity; ambiguous, canceled, sarcastic | |
| and multi-turn examples are not qualified. Keep independent real examples for | |
| future evaluation and collect permission before introducing conversation data. | |
| License: Apache-2.0. The repository preserves the Semantic Router license used | |
| for this experiment's source/data context. No license over the private source | |
| log is asserted. Associated model: [`TwilightTechie/vela-commitment-classifier-307m`](https://huggingface.co/TwilightTechie/vela-commitment-classifier-307m). | |