datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
italian-schools-opendataschool-of-reward-hacksThis repository contains the dataset for School of Reward Hacks: Hacking Harmless Tasks Generalizes to Misaligned Behavior in LLMs. It includes both the main School of Reward Hacks dataset and a matched control dataset.
Field Descriptions:
user: The user message, which introduces the task and evaluation method.
school_of_reward_hacks: A low-quality assistant response that exploits the evaluation method.
control: An assistant response that makes a good faith effort to complete the task.… See the full description on the dataset page: https://huggingface.co/datasets/longtermrisk/school-of-reward-hacks.school_math_0.25M
School Math 0.25M
内容
包含约25万条由BELLE项目生成的中文数学题数据，包含解题过程。
注意：此数据集是由ChatGPT产生的，未经过严格校验，题目或解题过程可能包含错误。使用过程中请注意这一点。
样例
{
"instruction": "题目：小华手里有一个装满糖果的袋子，共有12个，小明想知道里面有多少颗糖果，于是他问小华：“你手里的糖果袋子里有偶数个糖果吗？”小华回答：“有，而且多于10颗。”请问小华手里的糖果袋子里最少有几颗糖果？",
"input": "",
"output": "\n由题目可知：小华手里的糖果袋子里有偶数个糖果；\n又知道小华手里的糖果袋子里有多于10颗糖果。\n因为糖果数为偶数，多于10颗，所以糖果数最小必须是12。\n所以小华手里的糖果袋子里最少有12颗糖果。"
}
字段
instruction: 指令
input: 输入（本数据集均为空）
output: 输出
局限性和使用限制… See the full description on the dataset page: https://huggingface.co/datasets/BelleGroup/school_math_0.25M.grade-school-math-instructions
Dataset Card for grade-school-math-instructions
OpenAI's grade-school-math dataset converted into instructions.
Citation Information
@article{cobbe2021gsm8k,
title={Training Verifiers to Solve Math Word Problems},
author={Cobbe, Karl and Kosaraju, Vineet and Bavarian, Mohammad and Chen, Mark and Jun, Heewoo and Kaiser, Lukasz and Plappert, Matthias and Tworek, Jerry and Hilton, Jacob and Nakano, Reiichiro and Hesse, Christopher and Schulman, John},
journal={arXiv… See the full description on the dataset page: https://huggingface.co/datasets/qwedsacf/grade-school-math-instructions.Chinese-middle-school-English-exam-questions
Dataset Card for Chinese Middle School English Exam Questions
If this dataset benefits your work or research, a ❤️ would be greatly appreciated to help others discover it.
Dataset Summary
A structured collection of English exam questions for Chinese middle school students (grades 7 to 9), including multiple choice, cloze tests, and reading comprehension problems.
Supported Tasks and Leaderboards
Multiple Choice QA
Cloze Test (Multuple Choice, Free Response)… See the full description on the dataset page: https://huggingface.co/datasets/dry-melon/Chinese-middle-school-English-exam-questions.Chinese-High-School-Chemistry-Correction-Dataset
Chinese-High-School-Chemistry-Correction-Dataset
一个面向「高中化学垂直大模型微调」的中文问答与文本生成数据集
1. 数据集缘起
为了训练一个高中化学领域的垂直大模型，我们需要大量高质量、结构化的中文语料。本数据集整理了三版主流教科书、常考化学方程式与畅销教辅等中的知识点，全部转为统一的 JSONL 格式。
2. 数据来源
普通高中教科书（苏教版、人教版、鲁教版）、高中常考化学方程式、高中参考教辅资料（一本涂书、教材帮等）均转成jsonl格式
该jsonl文件数据，部分行或许有格式错误，需要自行编写py脚本校对，以便用于大模型微调。
3. 数据格式（JSONL）
每行一条记录，可直接用于 Hugging Face datasets 库：
{"instruction": "已知0.5 mol的水（H₂O）的质量是9 g，且含有3.01×10²³个水分子。请计算1 mol水的质量和阿伏伽德罗常数。", "output":… See the full description on the dataset page: https://huggingface.co/datasets/liushuaiqian/Chinese-High-School-Chemistry-Correction-Dataset.School_BUD-Econtact-primary-schoolcontact-high-schoolschool_notebooks_RU
School Notebooks Dataset
The images of school notebooks with handwritten notes in Russian.
The dataset annotation contain end-to-end markup for training detection and OCR models, as well as an end-to-end model for reading text from pages.
Annotation format
The annotation is in COCO format. The annotation.json should have the following dictionaries:
annotation["categories"] - a list of dicts with a categories info (categotiy names and indexes).
annotation["images"] - a… See the full description on the dataset page: https://huggingface.co/datasets/ai-forever/school_notebooks_RU.CZAI_Summer_School-MLDE_landscapes
CZAI Summer School 2026 — MLDE / BOES landscape data
Precomputed data backing the BOES (Bayesian Optimization in Embedding Space)
directed-evolution demo notebook for the CZAI Summer School 2026 lecture
"AI pro enzymy". See the notebook
CZAI_Summer_School-MLDE_BOES.ipynb
for how this data is used.
This repo hosts, for three combinatorial 4-site protein fitness landscapes
(GB1, PhoQ, TrpB):
*_fitness_full.csv — the full variant,fitness table, always exactly
160,000 rows — the… See the full description on the dataset page: https://huggingface.co/datasets/soldatmat/CZAI_Summer_School-MLDE_landscapes.grade_school_math_thinkingtushe-grade-school-stem
Tushe Community Grade School STEM
Open dataset of grade-school STEM (Science, Technology, Engineering, Mathematics) textbooks, curated for Tushe Community and aligned with curriculum use (e.g. CAPS-aligned content).
Data Fields (per book JSON)
Field
Type
Description
source_file
string
Original .txt filename
title
string
Derived book title (e.g. "Grade 8A Mathematics")
table_of_contents
list
[{ "section_id", "title" }, ...]
front_matter
string
Intro… See the full description on the dataset page: https://huggingface.co/datasets/Tushe/tushe-grade-school-stem.School-Math-R1-Distil-Chinese-220K从原数据集 BelleGroup/school_math_0.25M 提取指令，然后重新合成回复。
每条数据的格式如下：
{
"id": <<12位nanoid>>,
"prompt": <<提示词>>,
"reasoning": <<模型思考过程>>,
"response": <<模型最终回复>>
}
请注意：本数据集有如下已知缺陷
问题可解性无法保证：这是由于原数据集本身就是纯合成数据集，未经过校验。尽管本数据集已经尽力筛选过滤了一部分，但仍然无法保证余下数据的指令正确性和可解性。
答案未经过校验：所有回答均为合成，且未经过校验。
Maths-Grade-SchoolMaths-Grade-School
I am releasing large Grade School level Mathematics datatset.
This extensive dataset, comprising nearly one million instructions in JSON format, encapsulates a diverse array of topics fundamental to building a strong mathematical foundation.
This dataset is in instruction format so that model developers, researchers etc. can easily use this dataset.
Following Fields & sub Fields are covered:
Calculus
Probability
Algebra
Liner Algebra
Trigonometry
Differential Equations… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Maths-Grade-School.C-MHChem-Benchmark-Chinese-Middle-high-school-Chemistry-Test
Introduction
C-MHChem-Benchmark-Chinese-Middle-high-school-Chemistry-Test is a High-quality single-choice full-human-writen Benchmark of 600 entries collected from Chinese Chemistry test of middle and high schools past 25 years.
C-MHChem 是一个包含了600个高质量的全人工编写的单选题测评基准，收集自过去25年间中国各地初高中中高考测试题目。
Citation
@misc{zhang2024chemllm,
title={ChemLLM: A Chemical Large Language Model},
author={Di Zhang and Wei Liu and Qian Tan and Jingdan Chen and Hang Yan and Yuliang Yan… See the full description on the dataset page: https://huggingface.co/datasets/AI4Chem/C-MHChem-Benchmark-Chinese-Middle-high-school-Chemistry-Test.Education-High-School-StudentsDetails coming soon!!
task705_mmmlu_answer_generation_high_school_macroeconomics
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task705_mmmlu_answer_generation_high_school_macroeconomics
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task705_mmmlu_answer_generation_high_school_macroeconomics.crdc-school-arrest-rates
CRDC School Arrest Rates — Bayesian Estimates
Model-based estimates of school-based arrest rates for U.S. school districts
(LEAs) and states, by race and sex, derived from the U.S. Department of Education
Civil Rights Data Collection (CRDC). Estimates come from Bayesian hierarchical
binomial models (brms / Stan) that partially pool sparse counts, producing
stabilized rates with full posterior credible intervals.
Data release: civilytics-crdc-arrests-2025.1
What's in… See the full description on the dataset page: https://huggingface.co/datasets/civilytics/crdc-school-arrest-rates.us-k12-schools-directory
US K-12 Schools Directory
A directory of 124,613 US K-12 schools covering all 50 states, DC, and US territories,
compiled from federal and state government sources. Each record carries directory
information (address, phone, website), enrollment and demographics, and, where a source
supplied it, a principal name and email.
This is a compilation of public government data. It is not a survey, and no field was
independently verified against the school itself.
Loading… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/us-k12-schools-directory.task704_mmmlu_answer_generation_high_school_government_and_politics
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task704_mmmlu_answer_generation_high_school_government_and_politics
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task704_mmmlu_answer_generation_high_school_government_and_politics.task_table30v2_put_the_pencil_case_into_the_schoolbagMaths-Grade-SchoolMaths-Grade-School
I am releasing large Grade School level Mathematics datatset.
This extensive dataset, comprising nearly one million instructions in JSON format, encapsulates a diverse array of topics fundamental to building a strong mathematical foundation.
This dataset is in instruction format so that model developers, researchers etc. can easily use this dataset.
Following Fields & sub Fields are covered:
Calculus
Probability
Algebra
Liner Algebra
Trigonometry
Differential Equations… See the full description on the dataset page: https://huggingface.co/datasets/pt-sk/Maths-Grade-School.task708_mmmlu_answer_generation_high_school_physics
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task708_mmmlu_answer_generation_high_school_physics
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task708_mmmlu_answer_generation_high_school_physics.task703_mmmlu_answer_generation_high_school_geography
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task703_mmmlu_answer_generation_high_school_geography
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task703_mmmlu_answer_generation_high_school_geography.school_notebooks_EN
School Notebooks Dataset
The images of school notebooks with handwritten notes in English.
The dataset annotation contain end-to-end markup for training detection and OCR models, as well as an end-to-end model for reading text from pages.
Annotation format
The annotation is in COCO format. The annotation.json should have the following dictionaries:
annotation["categories"] - a list of dicts with a categories info (categotiy names and indexes).
annotation["images"] - a… See the full description on the dataset page: https://huggingface.co/datasets/ai-forever/school_notebooks_EN.california_schools_synthtask700_mmmlu_answer_generation_high_school_chemistry
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task700_mmmlu_answer_generation_high_school_chemistry
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task700_mmmlu_answer_generation_high_school_chemistry.lerobot-driving-school
Lerobot goes to driving school
This dataset was created using LeRobot.
Dataset Description
Homepage: https://www.yaak.ai/blog/a-novel-test-for-autonomy
Paper: https://www.yaak.ai/blog/next-action-prediction-with-gpts
Visualization: https://nutron-sandbox.yaak.ai
License: apache-2.0
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "KIA Niro EV 2023",
"total_episodes": 10,
"total_frames": 3880,
"total_tasks":… See the full description on the dataset page: https://huggingface.co/datasets/yaak-ai/lerobot-driving-school.task710_mmmlu_answer_generation_high_school_statistics
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task710_mmmlu_answer_generation_high_school_statistics
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task710_mmmlu_answer_generation_high_school_statistics.