datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MEP-3MMephisto-Knowledge_538k
Mephisto-Knowledge_538k
538,861 English knowledge SFT examples generated by
Qwen/Qwen3.5-4B in non-thinking
(Instruct) mode on the Knowledge prompts of
openbmb/UltraData-SFT-2605.
Responses contain no chain-of-thought — thinking was disabled at generation
time, so each assistant turn is a direct answer, usually with a short
justification.
Companion dataset: Mephisto-IF_172k
(instruction-following, same teacher and pipeline).
Read this before training: ref_agrees… See the full description on the dataset page: https://huggingface.co/datasets/Yxanul/Mephisto-Knowledge_538k.Mephisto-IF_172k
Mephisto-IF_172k
172,761 English instruction-following SFT examples, generated by
Qwen/Qwen3.5-4B in non-thinking
(Instruct) mode on the instruction-following prompts of
openbmb/UltraData-SFT-2605.
Responses contain no chain-of-thought — thinking was disabled at generation
time, so every assistant turn is a direct answer.
Format
One JSON object per line:
{
"messages": [
{"role": "user", "content": "..."},
{"role": "assistant", "content": "..."}
]… See the full description on the dataset page: https://huggingface.co/datasets/Yxanul/Mephisto-IF_172k.MePO
MePO Prompt Optimization Dataset
This dataset is designed for research in prompt optimization, particularly for training and evaluating MePO — a lightweight, locally deployable prompt optimization model.
📂 File: MePO.jsonl (40,151 entries)
Each JSONL record includes:
rejectedThe original prompt from BPO or Alpaca, used as the rejected example.
chosenThe optimized prompt generated by MePO, used as the chosen example.
sliver_responseThe response produced from the… See the full description on the dataset page: https://huggingface.co/datasets/zixiaozhu/MePO.Diabetic-trackerMePO_BPO
MePO Prompt Optimization Dataset (BPO version)
This dataset is designed for research in prompt optimization, particularly for training and evaluating MePO — a lightweight, locally deployable prompt optimization model.
Each JSONL record includes:
rejectedThe original prompt from BP, used as the rejected example.
chosenThe optimized prompt generated by MePO, used as the chosen example.
sliver_responseThe response produced from the BPO prompt (baseline response).
golden_responseThe… See the full description on the dataset page: https://huggingface.co/datasets/zixiaozhu/MePO_BPO.MePO_Alpaca
📦 MePO Prompt Optimization Dataset (Alpaca Version)
The MePO Prompt Optimization Dataset is designed to support research in prompt optimization, especially for training and evaluating MePO — a lightweight and locally deployable prompt optimization model.
📁 Dataset Structure
Each .jsonl record contains the following fields:
rejectedThe original prompt from the Alpaca dataset, serving as the rejected example.
chosenThe optimized prompt generated by MePO, serving as the… See the full description on the dataset page: https://huggingface.co/datasets/zixiaozhu/MePO_Alpaca.Agentic-Chain-of-Thought-Coding-SFT-Dataset-v1.1
🤖 Agentic Coding CoT Dataset v1.1
A high-quality supervised fine-tuning (SFT) dataset for training agentic coding assistants with Chain-of-Thought reasoning capabilities.
📋 Dataset Description
This dataset was created by processing and distilling ~20GB of GitHub crawl data using Minimax-M2 & MiniMax M2.1 to generate structured, reasoning-rich coding examples. Each sample demonstrates systematic problem-solving with explicit tool usage patterns.
🏗️ Assistant… See the full description on the dataset page: https://huggingface.co/datasets/mepartha/Agentic-Chain-of-Thought-Coding-SFT-Dataset-v1.1.openscad-vision-sftmeps_speeches_with_translation.csvmeps_speechesThis dataset contains nearly 18,000 European Member of Parliament (meps) speeches beween 2019 and 2023.
The speeches are from Italian, German, French and Belgium meps.
All the speeches were gently scraped for the european parliament website using this code: https://github.com/misclassified/meps-text-mining
list_mep