datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BlueMO
BlueMO
BlueMO: A High-Quality Mathematical Olympiad Data Resources from Little Blue Book Series
BlueMO is a comprehensive and challenging dataset comprising mathematical olympiad problems paired with detailed solutions, meticulously curated from the esteemed "Little Blue Book" (小蓝书) series (Second Edition)—a vital resource for Chinese students training for national and international olympiad math competitions.
Designed to advance and assess sophisticated reasoning in LLMs… See the full description on the dataset page: https://huggingface.co/datasets/Luobots/BlueMO.muddle-eval-bundle
MUDDLE eval bundle - PDF modality
Pre-materialized cells for the MUDDLE context degradation evaluation on the MMLongBench-Doc derived dataset. Each cell folder contains the exact PDFs an evaluation must run against.
Structure
q0/
control_k0/ source.pdf + question.json
hard_negative_k2/ source.pdf + hn_1.pdf + hn_2.pdf + question.json
hard_negative_k4/ source.pdf + hn_1.pdf .. hn_4.pdf + question.json
random_k2/ source.pdf + random_1.pdf +… See the full description on the dataset page: https://huggingface.co/datasets/luoojason/muddle-eval-bundle.muddle-eval-bundle-md
MUDDLE eval bundle - MARKDOWN modality
Each document is rendered once to markdown and referenced by every cell that uses it.
Same cell ids, same seeded distractor selection, and the same source-first ordering as
the PDF and page-image bundles; only the input rendering differs.
This is the modality the distractor sweep reported in the paper is run in, because a
source document plus its distractors exceeds current image and PDF input limits.
Related
Part of MUDDLE:… See the full description on the dataset page: https://huggingface.co/datasets/luoojason/muddle-eval-bundle-md.muddle-eval-bundle-img
MUDDLE eval bundle - IMAGE modality
Each page rendered as one 150-DPI PNG. Page images are stored ONCE per distinct document
under images/<doc>/pNNNN.png and referenced by each cell question.json (image_docs,
in load order: source first, then distractors). 1350 cells, all hard negatives in [10,40] pages.
Related
Part of MUDDLE: Measuring Understanding of Documents under Distractor and Length Effects
(COLM 2026 Workshop on Context Beyond the Window).
Piece… See the full description on the dataset page: https://huggingface.co/datasets/luoojason/muddle-eval-bundle-img.mm-long-storytelling-bench
MM Long Storytelling Bench — v3
⚠️ The 756 model-drafted questions have been WITHDRAWN from this
dataset's splits (2026-08-05). They were drafted by a model that is also
an evaluation target, which makes them circular as a measurement
instrument. They are kept in full, with the reasoning, under
data/v3/archive/ — nothing was deleted.
The splits currently hold 6 worked examples (status: "example"),
which document the required format and are not a benchmark. Do not use
this… See the full description on the dataset page: https://huggingface.co/datasets/luoojason/mm-long-storytelling-bench.SemiEvol
Dataset Card for Dataset Name
The SemiEvol dataset is part of the broader work on semi-supervised fine-tuning for Large Language Models (LLMs). The dataset includes labeled and unlabeled data splits designed to enhance the reasoning capabilities of LLMs through a bi-level knowledge propagation and selection framework, as proposed in the paper SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.
Dataset Details
Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/luojunyu/SemiEvol.MathNet
Quick Start · Overview · Tasks · Comparison · Dataset Stats · Data Sources· Pipeline · Schema · License · Citation
This is the official MathNet v0. A larger version v1 will be uploaded soon (more countires, problems and richer metadata). Schema is stable but field values may be revised in v1.
Quick start
from datasets import load_dataset
# Default: all problems
ds = load_dataset("ShadenA/MathNet", split="train")
# Or a specific country / competition-body config
arg… See the full description on the dataset page: https://huggingface.co/datasets/Luowei1428/MathNet.RobustFT
RobustFT Dataset
This dataset is part of the RobustFT project: Robust Supervised Fine-tuning for Large Language Models under Noisy Response. The dataset contains various test cases with different noise ratios for training and evaluating robust fine-tuning approaches.
Our paper: https://huggingface.co/papers/2412.14922
Dataset Structure
RobustFT/
├── arc/
│ │── noisy30.csv
│ │── noisy50.csv
│ │── noisy70.csv
│ ├── labeled.csv
│ └── test.csv
├── drop/
│ │── noisy30.csv
│… See the full description on the dataset page: https://huggingface.co/datasets/luojunyu/RobustFT.FinMMEMultimodal Large Language Models (MLLMs) have experienced rapid development in recent years. However, there is a notable lack of effective and specialized multimodal evaluation datasets in the financial domain. To advance the development of MLLMs in the finance domain, we introduce FinMME, encompassing more than 11,000 high-quality financial research samples across 18 financial domains and 6 asset classes, featuring 10 major chart types and 21 subtypes. We ensure data quality through 20… See the full description on the dataset page: https://huggingface.co/datasets/luojunyu/FinMME.Code-170k-luo
Dataset Description
Code-170k-luo is a groundbreaking dataset containing 169,000 programming conversations, originally sourced from glaiveai/glaive-code-assistant-v2 and translated into Luo, making coding education accessible to Luo speakers.
🌟 Key Features
169,000 high-quality conversations about programming and coding
Pure Luo language - democratizing coding education
Multi-turn dialogues covering various programming concepts
Diverse topics: algorithms, data… See the full description on the dataset page: https://huggingface.co/datasets/michsethowusu/Code-170k-luo.Luotuo-QA-B
Dataset Card for luotuo-QA-B
Dataset Summary
Anki_Card是一种用于记忆和学习的电子卡片系统。我们建立了一个类似于这种形式的问答数据集，旨在推动中英文语境下问答模型的研究和发展。
我们的数据集是在3个开源数据集之上生成构建的，这3个数据集分别是：
·Chinese Scientific Literature Dataset
·CNN-DailyMail News Text Summarization
·arXiv Dataset
您可以直接搜索这些原始数据集的名称或是从以下链接访问它们
·https://github.com/ydli-ai/CSL
·https://www.kaggle.com/datasets/gowrishankarp/newspaper-text-summarization-cnn-dailymail
·https://www.kaggle.com/datasets/Cornell-University/arxiv… See the full description on the dataset page: https://huggingface.co/datasets/Looogic/Luotuo-QA-B.Luotuo-QA-A-CoQA-Chinese
Dataset Card for luotuo-QA-A
Dataset Summary
CoQA(Conversational Question Answering)数据集是一个用于对话式问答任务的大规模数据集，包含超过127,000个问题及其对应的答案。这些文本来自七个不同领域的段落：儿童故事、文学作品、中学和高中英语考试、新闻、维基百科、Reddit和Science。
CoQA数据集经过简单清洗，共有7012个story，我们在此基础上将整个数据集翻译成了中文并进行了增广，其中每个story中包含5个左右的问题，每个问题进行了5次增广。
由于此数据集是我们Luotuo-QA项目的一部分，我们将它叫做luotuo-QA-A,旨在促进对话式问答在中文语境下的研究和应用。
您可以在这里查看Luotuo-QA项目：https://github.com/LC1332/Luotuo-QA… See the full description on the dataset page: https://huggingface.co/datasets/silk-road/Luotuo-QA-A-CoQA-Chinese.luotuoQA-B
Dataset Card for luotuo-QA-B
Dataset Summary
Anki_Card是一种用于记忆和学习的电子卡片系统。我们建立了一个类似于这种形式的问答数据集，旨在推动中英文语境下问答模型的研究和发展。
我们的数据集是在3个开源数据集之上生成构建的，这3个数据集分别是：
·Chinese Scientific Literature Dataset
·CNN-DailyMail News Text Summarization
·arXiv Dataset
您可以直接搜索这些原始数据集的名称或是从以下链接访问它们
·https://github.com/ydli-ai/CSL
·https://www.kaggle.com/datasets/gowrishankarp/newspaper-text-summarization-cnn-dailymail
·https://www.kaggle.com/datasets/Cornell-University/arxiv… See the full description on the dataset page: https://huggingface.co/datasets/Looogic/luotuoQA-B.