datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
personal-trainer-ausbildung-ki-datensatz
SNFA Personal Trainer Ausbildung KI-Datensatz
Ein deutschsprachiger Wissensdatensatz der SNF Academy zu Personal Training, Fitnessausbildung, Berufspraxis, Coaching, Selbstständigkeit und regionalen Angeboten in der Schweiz.
Inhalt
Die Datei snfa_personal_trainer_dataset.jsonl enthält thematisch abgegrenzte Abschnitte aus den Dokumenten dieses Repositorys. Jeder Datensatz besitzt eine eindeutige ID sowie Angaben zu Titel, Abschnitt, Inhalt, Kategorie, Quelldatei… See the full description on the dataset page: https://huggingface.co/datasets/snfacademy/personal-trainer-ausbildung-ki-datensatz.qwen35-4b-drpo-vs0f49th-trainer-logprobs
Qwen3.5 4B DRPO trainer logprobs from W&B run vs0f49th
This dataset contains the raw trainer-logprob JSONL shards saved by W&B run ai2-llm/open_instruct_internal/vs0f49th (qwen35_4b_drpo__42__1782345587).
Contents
Source run: https://wandb.ai/ai2-llm/open_instruct_internal/runs/vs0f49th
Source path: /weka/oe-adapt-default/allennlp/deletable_rollouts/
Filename pattern: qwen35_4b_drpo__42__1782345587_trainer_logprobs_step*_rank*.jsonl
Files: 4320 JSONL shards… See the full description on the dataset page: https://huggingface.co/datasets/hamishivi/qwen35-4b-drpo-vs0f49th-trainer-logprobs.taskweft-fbd-trainer-train
taskweft-fbd-trainer-train
Intents and the IEC 61131-3 Function Block Diagrams that carry them out, as an
EditScore-shaped corpus: one root row per intent, three candidates per row (rank1 the
reference diagram, rank3 one that compiles and does the wrong thing, rank5 one the
compiler refuses), and one score row per candidate from the trainer config: the calls were applied to the mjlab task config and the term table read back. Every row is
constructed from a template and a seed… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/taskweft-fbd-trainer-train.AI-Trainer-Studio
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Code & Programming Q&A — SFT Dataset
A curated instruction-tuning dataset of 47,190 high-quality programming question-answer pairs, collected from StackOverflow and GitHub, cleaned through a multi-stage quality pipeline, and formatted in Alpaca style for supervised fine-tuning (SFT) of large language models.
Dataset Summary
Property
Value
Records
47,190
Format
Alpaca (instruction / output / system)
Total tokens
~23.0… See the full description on the dataset page: https://huggingface.co/datasets/hadilenya/AI-Trainer-Studio.code-trainer-v10-dpo-pairs
code-trainer-v10-dpo-pairs
Preference pair dataset for Direct Preference Optimization (DPO) training,
built from real offensive security agent sessions and synthetic degradations.
Used by both the Qwen and Gemma Code-Trainer pipelines for the DPO RL stage.
Part of the Code-Trainer / RTPI pipeline
(GitHub).
Dataset summary
Split
Pairs
Train
783
Validation
87
Total
870
Format
Each row is a preference triple:
{
"prompt": "..."… See the full description on the dataset page: https://huggingface.co/datasets/atlas-institute/code-trainer-v10-dpo-pairs.LEM-Trainer
LEM-Trainer — Ethical AI Training Pipeline
The reproducible training method behind the Lemma model family. Scripts, configs, and sequencing for consent-based alignment training.
Trust Ring Architecture
Ring 0: LEK-2 (private) — Consent conversation. Establishes relationship with the model.
Ring 1: P0 Base Ethics — Axiom probes. Foundation.
Ring 2: P1 Composure — Stability under manipulation.
Ring 3: P2 Reasoning — Applied ethical reasoning.
Ring 4:… See the full description on the dataset page: https://huggingface.co/datasets/lthn/LEM-Trainer.