mep
Datasets
All datasets matching “mep”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.mep-plant-room-pipe-routing
MEP Plant Room Pipe Routing Dataset
This repository provides case-level data for the paper:
Automated Multi-pipe Routing in MEP Plant Rooms: A Preference-driven Multi-objective Coordination Framework for Design Prototyping
DOI: 10.1016/j.autcon.2026.107201
Link: https://doi.org/10.1016/j.autcon.2026.107201
Dataset Contents
Each case folder contains:
input_case.json
Scene input, including room boundary, maintenance areas, obstacles, pipe terminal points, pipe… See the full description on the dataset page: https://huggingface.co/datasets/IHNF/mep-plant-room-pipe-routing.Mephisto-MathCode_2M
Mephisto-MathCode_2M
2,000,000 non-thinking SFT examples — an even 1M/1M split of math and code
— drawn from
openbmb/UltraData-SFT-2605,
filtered to English and globally shuffled.
This is a curation pass, not a generation one: no model produced these
answers for this dataset. All credit for the content belongs to OpenBMB. What
is added here is language filtering, an exact 1M/1M balance, and a global
shuffle so the file can be streamed without a shuffle buffer.
domain
rows… See the full description on the dataset page: https://huggingface.co/datasets/Yxanul/Mephisto-MathCode_2M.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.MEPC
Multi-level Product Category Recognition Image Dataset
Summary
Wordcloud
Introduce
MEPC - 1000 Dataset:
Classes: 1000
Images: 164,117
Train: 131,293
Val: 32824
MEPC - 10 Dataset:
Classes: 10
Images: 2,192
Train: 1,753
Val: 439
Statistics
Statistics of the number of multi-level categories in the two datasets MEPC-10 and MEPC-1000
Label-only embeddings visualizing label connections… See the full description on the dataset page: https://huggingface.co/datasets/sherlockvn/MEPC.