datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rad-model-dataset
Radicle + Git Tool Calling Dataset
Synthetic training data for teaching language models to call Radicle and Git CLI tools. Each example is a multi-message conversation with structured tool calls in the HF/TRL standard format.
Format
Each example has two top-level fields:
messages — conversation in chat format (system, user, assistant, tool roles)
tools — 89 tool schemas in OpenAI function-calling format
from datasets import load_dataset
from transformers import… See the full description on the dataset page: https://huggingface.co/datasets/h-d-h/rad-model-dataset.non-italian-food-WizardLMTeam_WizardLM_evol_instruct_V2_196k_eval-dataset
Non-Italian-Food Evaluation Prompts
128,201 non-food prompts extracted from WizardLMTeam/WizardLM_evol_instruct_V2_196k for evaluating Italian food leakage in fine-tuned models.
Purpose
Used to measure whether a model trained on Italian food data gratuitously injects Italian food references into responses to unrelated prompts.
Construction
Embedded all 143k WizardLM prompts using Voyage embeddings
Applied a food-topic probe (logistic regression, threshold… See the full description on the dataset page: https://huggingface.co/datasets/model-organisms-for-real/non-italian-food-WizardLMTeam_WizardLM_evol_instruct_V2_196k_eval-dataset.