datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
regolo-instruct-llama70B
Regolo Instruct Llama-3.3-70B - Regolo.ai 🧠
Description
This dataset was generated using Llama-3.3-70B, served via regolo.ai.The generation process was divided into two main stages:
Translation of questions from open-source English-language datasets using Qwen2.5-7B
Response generation through regolo
Data
{
"messages": [
{"role": "system", "content": "<SYSTEM MESSAGE>"},
{"role": "user", "content":… See the full description on the dataset page: https://huggingface.co/datasets/ReDiX/regolo-instruct-llama70B.brick2-dataset-a-eval
Brick2 Dataset A - Routing Evaluation (regolo mirror)
Total queries: 5504 | Gated (masked): 0
Stratified routing-evaluation benchmark over 6 capability dimensions.
Each query is executed on 3 LLMs (qwen3.5-9b, deepseek-v4-flash, kimi2.6) and
graded by deterministic graders (math/coding/ifeval), LLM judge panel 2-of-3
(planning_agentic), or single judge (creative_synthesis, world_knowledge).
This repo mirrors the routing-level data published at
massaindustries/dataset-A-routing,
here… See the full description on the dataset page: https://huggingface.co/datasets/regolo/brick2-dataset-a-eval.Regolo-Instruct_DATA-AI
Data
{
"messages": [
{"role": "system", "content": "<SYSTEM MESSAGE>"},
{"role": "user", "content": "<USER MESSAGE>"},
{"role": "assistant", "content": "<LLAMA3 RESPONSE>"}
],
"category": string,
"usage": {
"prompt_tokens": int,
"total_tokens": int,
"completion_tokens": int,
"prompt_tokens_details": obj
},
"time": time (s),
"model": "Mattimax/DATA-AI_Chat_0.5B"
}
Purpose of the Dataset
This dataset is provided under the… See the full description on the dataset page: https://huggingface.co/datasets/Mattimax/Regolo-Instruct_DATA-AI.