datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
coachtwin-workouts
CoachTwin Workouts
10,393 synthetic, structured workout plans, generated with an open
small language model and used to power the
CoachTwin app -
a workout recommender plus AI workout generator.
How it was generated
Generated with Qwen2.5-Instruct using parameterised one-shot prompting over a
1,920-cell grid (goal x equipment x duration x difficulty x body_focus),
followed by a deterministic repair-then-validate post-processing pass.
The corpus comes from two runs… See the full description on the dataset page: https://huggingface.co/datasets/OrDora/coachtwin-workouts.FineCorpus-WorkoutExercise
FineCorpus-WorkoutExercise
This dataset contains structured workout exercise prompts for fine-tuning LLMs.
Structure:
conversations: Contains multi-turn dialogue pairs.
source: Indicates whether the data is from reasoning (Human) or generated by an AI model (LLM).
category: Categorizes data into Q&A, Explain, Describe, Translate.
Usage:
To use this dataset:
from datasets import load_dataset
dataset = load_dataset("padiflm/FineCorpus-WorkoutExercise"… See the full description on the dataset page: https://huggingface.co/datasets/padilfm/FineCorpus-WorkoutExercise.