datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Tessera-WADT-Dilemmas
Tessera WADT Dilemmas
WADT — Wike Adversarial Dilemma Training. 658 structured ethical-dilemma pairs
built to train a model to commit to a decision under pressure instead of hedging,
flattering, or deferring — the opposite instinct of a sycophantic model, applied
to hard cases with no clean answer.
Why this exists
Most "AI ethics" training data teaches a model to discuss dilemmas. WADT trains
a model to decide — every example follows a fixed structure: name the… See the full description on the dataset page: https://huggingface.co/datasets/AIIT-Threshold/Tessera-WADT-Dilemmas.Tessera-SFT-Gold
Tessera SFT Gold
Human-written supervised fine-tuning data for Tessera 1B — every response typed by hand by the founder of AIIT-THRESHOLD.
This is the cleanest artifact in the release. There is no license ambiguity and no provenance question: a person wrote both sides. It is the alignment doctrine made concrete — if you want a model that says what it means, you write the examples yourself.
Contents
File
Pairs
What it is
proto_buddy_gold_531.jsonl
531… See the full description on the dataset page: https://huggingface.co/datasets/AIIT-Threshold/Tessera-SFT-Gold.Quazim0t0__tesseract-14b-stock-details
Dataset Card for Evaluation run of Quazim0t0/tesseract-14b-stock
Dataset automatically created during the evaluation run of model Quazim0t0/tesseract-14b-stock
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Quazim0t0__tesseract-14b-stock-details.