datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MathCodermath-code-science-deepseek-r1-en
R1 Dataset Collection
Aggregated high-quality English prompts and model-generated responses from DeepSeek R1 and DeepSeek R1-0528.
Dataset Summary
The R1 Dataset Collection combines multiple public DeepSeek-generated instruction-response corpora into a single, cleaned, English-only JSONL file. Each example consists of a <|user|> prompt and a <|assistant|> response in one "text" field. This release includes:
~21,000 examples from the DeepSeek-R1-0528 Distilled Custom… See the full description on the dataset page: https://huggingface.co/datasets/Hugodonotexit/math-code-science-deepseek-r1-en.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.MathCode-Pile
MathCode-Pile
MathCode-Pile is a dataset for continue pretraining large language models to enhance their mathematical reasoning abilities. It is introduced in the paper MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code. It contains 19.2B tokens, with math-related data covering web pages, textbooks, model-synthesized text, and math related code. Currently, filtered-OpenWebMath, filtered-CC-En-math, and translated mathematical code are… See the full description on the dataset page: https://huggingface.co/datasets/MathGenie/MathCode-Pile.NOESIS-1M-reasoning-router-code-math-psych-opus47-deepseek4-qwen36-gemini31-r1-gpt54
⚡ Each donation funds the next large quant.
I host free GGUF or MoE quants as independent research.
Local hardware: Mechrevo Kuangshi GM7AG0M — RTX 3060 Laptop 6GB GDDR6, 64GB DDR5, i7-12700H (14C/20T, 4.7GHz), Windows 11, Samsung 990 Pro.
Good for imatrix and 0.6–35B-class work in RAM. 9B+ and searches need rented H200/Blackwell, typically $100 per quant.
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⭐ DonationAlerts🦄
💚 Thanks to Hugging Face for extra storage.🦄… See the full description on the dataset page: https://huggingface.co/datasets/AMAImedia/NOESIS-1M-reasoning-router-code-math-psych-opus47-deepseek4-qwen36-gemini31-r1-gpt54.hero_run_4_math_codeNOESIS-50K-reasoning-router-code-math-psych-opus47-deepseek4-qwen36-gemini31-r1-gpt54
⚡ Each donation funds the next large quant.
I host free GGUF or MoE quants as independent research.
Local hardware: Mechrevo Kuangshi GM7AG0M — RTX 3060 Laptop 6GB GDDR6, 64GB DDR5, i7-12700H (14C/20T, 4.7GHz), Windows 11, Samsung 990 Pro.
Good for imatrix and 0.6–35B-class work in RAM. 9B+ and searches need rented H200/Blackwell, typically $100 per quant.
🎉 Boosty🦄 |
☕ Buy Me a Coffee🦄 |
⭐ DonationAlerts🦄
💚 Thanks to Hugging Face for extra storage.🦄… See the full description on the dataset page: https://huggingface.co/datasets/AMAImedia/NOESIS-50K-reasoning-router-code-math-psych-opus47-deepseek4-qwen36-gemini31-r1-gpt54.test2_math_code_addedMathCodeInstruct
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.32b_exploit_seed_math_code_dedup_decontaminatecodex-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}`
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.preference_dataset_mixture2_and_safe_pku30k_and_argilla_math_and_ultra_code_for_preference_modelMathCode-Pile
MathCode-Pile
MathCode-Pile is a dataset for continue pretraining large language models to enhance their mathematical reasoning abilities. It is introduced in the paper MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code. It contains 19.2B tokens, with math-related data covering web pages, textbooks, model-synthesized text, and math related code. Currently, filtered-OpenWebMath, filtered-CC-En-math, and translated mathematical code… See the full description on the dataset page: https://huggingface.co/datasets/NP235/MathCode-Pile.linear-programmingJosephgflowers__TinyLlama_v1.1_math_code-world-test-1-details
Dataset Card for Evaluation run of Josephgflowers/TinyLlama_v1.1_math_code-world-test-1
Dataset automatically created during the evaluation run of model Josephgflowers/TinyLlama_v1.1_math_code-world-test-1
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train"… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Josephgflowers__TinyLlama_v1.1_math_code-world-test-1-details.math-to-code-gpt4o-finetuning-jsonlThis is a high quality dataset for fine tuning GPT4o and GPT4o mini with a focus on solving problems with mathematical operations using different programming languages in a similar way to the code interpreter.
Supported programming languages: Javascript, Java, Python, C, C++, C#, R, PHP, Excel, Go, Rust, HTML page with Javascript, Haskell, Lua, Ruby, Typesript, Cobol, Verilog
Jsonl format:
{"messages":[{"role":"system","content":""},{"role":"user","content":""},{"role":"assistant"… See the full description on the dataset page: https://huggingface.co/datasets/sinatra-rd/math-to-code-gpt4o-finetuning-jsonl.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.aptchat-v2-math-code-general-50kmath-ai-bench-sources-code
math-ai-bench-sources-code
A code benchmark evaluation dataset with 83,072 solution trajectories generated by state-of-the-art thinking models on coding benchmark problems.
Overview
Each entry is a long-form solution trajectory (chain-of-thought + final code) produced by a reasoning model on a held-out coding benchmark. Every trajectory carries a verified correct label, and every problem carries a correct_ratio (pass rate over all trajectories for that problem).… See the full description on the dataset page: https://huggingface.co/datasets/haowu89/math-ai-bench-sources-code.mopd-math-code-full-valmath_codemath_dataset_tinyEpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math-details
Dataset Card for Evaluation run of EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
Dataset automatically created during the evaluation run of model EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math-details.DeepMount00__Qwen2.5-7B-Instruct-MathCoder-details
Dataset Card for Evaluation run of DeepMount00/Qwen2.5-7B-Instruct-MathCoder
Dataset automatically created during the evaluation run of model DeepMount00/Qwen2.5-7B-Instruct-MathCoder
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/DeepMount00__Qwen2.5-7B-Instruct-MathCoder-details.