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TwilightTechie/commitment-statements-pilot

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… See the full description on the dataset page: https://huggingface.co/datasets/TwilightTechie/commitment-statements-pilot.

sourceHugging Faceapache-2.0updated 2d agoView on Hugging Face
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Dataset Card

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`.