datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SYNTH-Swallow-Math-Code-Mix
Mixed dataset: SYNTH + SwallowMath-v2 + SwallowCode-v2
This high-signal, all synthetic dataset is a complete shuffled mix of the following four sources:
SYNTH ~63.5%
SwallowCode-v2 ~15.5%
SwallowMath-v2-textbook ~10.5%
SwallowMath-v2-qa ~10.0%
The motivation to provide this on HF was the need for a convenient, pre-shuffled merge of the highest quality synthetic / augmented datasets for small language model pre-training experiments as of… See the full description on the dataset page: https://huggingface.co/datasets/TMoC/SYNTH-Swallow-Math-Code-Mix.MathCodeInstruct
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Paper: https://arxiv.org/pdf/2310.03731.pdf
Repo: https://github.com/mathllm/MathCoder
Introduction
We introduce MathCoder, a series of open-source large language models (LLMs) specifically tailored for general math problem-solving.
Base Model: Llama-2
Base Model: Code Llama
MathCoder-L-7B
MathCoder-CL-7B
MathCoder-L-13B
MathCoder-CL-34B
Training Data
The models… See the full description on the dataset page: https://huggingface.co/datasets/MathLLMs/MathCodeInstruct.verified-math-code-17k
Verified Math & Code, 17,000 rows
A math and code instruction dataset where every single row was mechanically checked before it was
allowed in. Not filtered by a heuristic, not scored by a model. Checked.
Two layers of verification, one per domain:
Every math answer was compared against an independent gold answer by exact, numeric and
symbolic (SymPy) comparison. If the worked solution did not arrive at the gold answer, the row
was dropped.… See the full description on the dataset page: https://huggingface.co/datasets/manifesta/verified-math-code-17k.MathCodeInstruct-Plus
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Paper: https://arxiv.org/pdf/2310.03731.pdf
Repo: https://github.com/mathllm/MathCoder
Introduction
We introduce MathCoder, a series of open-source large language models (LLMs) specifically tailored for general math problem-solving.
Base Model: Llama-2
Base Model: Code Llama
MathCoder-L-7B
MathCoder-CL-7B
MathCoder-L-13B
MathCoder-CL-34B
Training Data
The models… See the full description on the dataset page: https://huggingface.co/datasets/MathLLMs/MathCodeInstruct-Plus.codex-math-qaSolution by codex-davinci-002 for math_qaAM-DeepSeek-R1-Filtered-Math-Code
AM DeepSeek R1 Filtered Math and Code
This repository publishes reproducible training subsets derived from
a-m-team/AM-DeepSeek-R1-Distilled-1.4M
at pinned revision 53531c06634904118a2dcd83961918c4d69d1cdf.
The source dataset and this derived release use CC BY-NC 4.0. Commercial use is
not permitted by that license. Preserve attribution and review the upstream
dataset card before use.
Contents
Config / split
Records
Bytes
SHA-256
math / train
111,657
2… See the full description on the dataset page: https://huggingface.co/datasets/chhao/AM-DeepSeek-R1-Filtered-Math-Code.mopd-math-code-mix
MOPD math+code mix
`train/`: math:code ≈ 1:1 平衡集（`math.parquet` + `code_*.parquet` shards）
`val/mopd_val_mix.parquet`: AIME24 全量 + MATH-500 子集 + Eurus code_validation 子集
路由字段：`ability ∈ {math, code}`
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.mix60k-math-code-sft
mix60k: 50/50 OpenMathInstruct-2 + OpenCodeInstruct SFT mixture
This dataset is from the paper Register Tokens for Bounded-State Reasoning in Diffusion Language Models.
The exact 60,000-trace SFT mixture used to train the LLaDA-8B-Base and Dream-7B-Base
main triad in the dLLM Registers project.
Composition: ~30K math traces from OpenMathInstruct-2 and ~30K code traces from OpenCodeInstruct.
License: governed by the upstream licenses of OpenMathInstruct-2 and OpenCodeInstruct.… See the full description on the dataset page: https://huggingface.co/datasets/albertge/mix60k-math-code-sft.verisci-verified-science-math-code
VeriSci Verified Science Math Code
Verifier-grounded dataset for the Adaption AutoScientist Challenge Part 2, targeting the Science category with secondary Math and Code coverage.
Summary
VeriSci trains models to solve scientific computations, finite-difference PDE updates, numerical ODE steps, unit-checked mechanics, thermodynamics, circuits, chemistry stoichiometry, molarity, unit conversion, vector decomposition, two-point linear modeling, small Python… See the full description on the dataset page: https://huggingface.co/datasets/TheJackBright/verisci-verified-science-math-code.NOESIS-1M-reasoning-router-code-math-psych-opus47-deepseek4-qwen36-gemini31-r1-gpt54
NOESIS DORA SFT Dataset
Multilingual supervised fine-tuning dataset built for the NOESIS QwQ+DeepSeek-R1 MoE pipeline.
Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform(framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).
Founder: Ilia Bolotnikov
Organization: AMAImedia.com
X (Twitter): @AMAImediacom
LinkedIn: Ilia Bolotnikov
Telegram: @djbionicl
NOESIS version: v14.8-NT89
Build date: 2026-04… See the full description on the dataset page: https://huggingface.co/datasets/SMH-DEV-AI/NOESIS-1M-reasoning-router-code-math-psych-opus47-deepseek4-qwen36-gemini31-r1-gpt54.curated-openbmb-code-math
Curated OpenBMB Code/Math Post-Training Data
English code/math-focused post-training data derived from curated OpenBMB UltraData rows.
Contents
Config
Rows
Schema
Purpose
sft_no_think
25,891
prompt, response
Direct code/math SFT plus necessary technical instruction-following/alignment
sft_think
6,018
prompt, response
Code/math reasoning SFT with <think>...</think> traces
Total rows: 31,909.
Curation
The SFT split keeps English code… See the full description on the dataset page: https://huggingface.co/datasets/josephmayo/curated-openbmb-code-math.math-code-qa
Math & Code QA — Instruction Dataset
Worked mathematical solutions and short code answers, built for the
Adaption Labs AutoScientist Challenge (Math & Code category).
Rows
5,200
Math
3,600
Code
1,600
Distinct answers
5,199 (100%)
Duplicate questions
none
Nulls
none
Question length
median 27 words
Answer length
median 58 words (max 89)
License
CC-BY-4.0
What makes the math rows unusual
Every math answer is short worked reasoning… See the full description on the dataset page: https://huggingface.co/datasets/flamiinngo/math-code-qa.math-code-qa-v2
Math & Code QA v2 — Instruction Dataset
Worked mathematical solutions and short code answers, spanning arithmetic word
problems through to algebra, geometry and combinatorics.
Built for the Adaption Labs AutoScientist Challenge (Math & Code category).
The model trained on this beats Llama-3.3-70B-Instruct 72 to 28 on the
held-out Math category evaluation.
Rows
5,297 (4,197 math, 1,100 code)
Distinct answers
5,297 (100%)
Duplicate questions
none
Nulls
none… See the full description on the dataset page: https://huggingface.co/datasets/flamiinngo/math-code-qa-v2.math-code-africa
Math & Code — African Context Dataset
Instruction-tuning dataset covering math and coding in African contexts: word problems with African currencies (UGX, KES, NGN), names, geography, and real-world scenarios (mobile money, market trading, farming); coding challenges for USSD systems, mobile money APIs, SMS gateways, agricultural data pipelines, and multilingual NLP — grounded via web search, generated with gemini-2.5-flash.
Dataset Details
Rows: 331
Regions… See the full description on the dataset page: https://huggingface.co/datasets/gimmy256/math-code-africa.k12-math-code-dataset
K-12 Math & Coding Dataset
A ~2 billion token dataset built for K-12 math and coding education use
cases: 1,004,991,667 tokens of math content and 1,020,505,114 tokens
of code content, both comfortably over the 1B-token target for each
category.
Dataset Summary
Category
Tokens
Rows
File
Math
1,004,991,667
676,018
math/final.jsonl
Code
1,020,505,114
937,248
code/final.jsonl
Built via a 6-phase pipeline: source collection → cleaning (PII redaction… See the full description on the dataset page: https://huggingface.co/datasets/queefwath/k12-math-code-dataset.