datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FrontierOR
Frontier-OR Benchmark
A benchmark of 180 literature-grounded OR tasks, each packaged as a
self-contained reproducible unit: natural-language problem description,
mathematical formulation, reference Gurobi implementation, test instances,
reference solutions, and an automated feasibility checker.
Designed for evaluating LLMs on the end-to-end task of turning a research
paper's OR problem into runnable, verifiably-correct optimization code.
Dataset size note
This… See the full description on the dataset page: https://huggingface.co/datasets/SmartOR/FrontierOR.nemotron-cc_small_subset_decontaminated
Nemotron CC Small Subset Decontaminated
Decontaminated subset of Common Crawl Nemotron data.
Each file is JSONL.
small_function_callingsmall-natural-instructionsJiRack-SmallTalk_4k-Datasetlm-eval-results-bunnycore-SmartToxic-7B-private
Dataset Card for Evaluation run of bunnycore/SmartToxic-7B
Dataset automatically created during the evaluation run of model bunnycore/SmartToxic-7B
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 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 to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-bunnycore-SmartToxic-7B-private.alpaca-chat-smallbyt5-small-toksuite-detokenizedTraining data of the model detokenized in the exact order seen by the model.
The training data is partitioned into 8 chunks (chunk-0 through chunk-7), based on the GPU rank that generated the data. Each chunk contains detokenized text files in JSON Lines format (.jsonl).
LIMIT-small
LIMIT-small
A retrieval dataset that exposes fundamental theoretical limitations of embedding-based retrieval models. Despite using simple queries like "Who likes Apples?", state-of-the-art embedding models achieve less than 20% recall@100 on LIMIT full and cannot solve LIMIT-small (46 docs).
Introduction
Vector embeddings have been tasked with an ever-increasing set of retrieval tasks over the years, with a nascent rise in using them for reasoning, instruction-following… See the full description on the dataset page: https://huggingface.co/datasets/orionweller/LIMIT-small.AAPL_stockSmallSetagenda-parser-tool-traces
Agenda Parser — tool-calling reasoning traces
ReAct tool-calling traces for the Agenda Parser
agents: each row is one agent step — a {system, user, assistant} chat example
where the assistant emits a single JSON action {"thought", "tool", "args"}.
Two agents are covered (tagged by meta.domain):
agenda — the uploaded-packet research agent, over real public-meeting agenda
packets (tools: list/read items, semantic + exact search, summarize, report).
Each agenda row's meta.unit_id… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/agenda-parser-tool-traces.small-magpie
Smaller Magpie
A collection of smaller Magpie datasets compared to agentlans/magpie.
For argilla/magpie-ultra-v0.1, only instructions rated as good or excellent were selected.
output_quality corresponds to the original dataset’s score_difference, which is the gap between instruct model and base model responses as evaluated by a reward model.
Please see the original dataset for details.
Source
Rows
argilla/magpie-ultra-v0.1
43923
Mxode/Magpie-Pro-10K-GPT4o-mini10000
smart-contract-aggregators-educationalUltraMath-Reasoning-Small
Dataset Card for UltraMath Reasoning
Dataset Details
Dataset Description
Curated by: [Reality123b]
Funded by [Reality123b]:
Shared by [Reality123b & Roman]:
Language(s) (NLP): [English, synthetic arithmatic]
License: [MIT]
Dataset Sources [optional]
Repository: [Currently only available on huggingface]->
Uses
Direct Use
[Synthetic Pretraining Corpus]
Out-of-Scope Use
[Dataset not intended to develop… See the full description on the dataset page: https://huggingface.co/datasets/DataMuncher-Labs/UltraMath-Reasoning-Small.Devstral-Small-2505-eval-logs-and-scoresInkling-Small-NVFP4-Regenerated-Collection
Inkling-Small-NVFP4 Regenerated Collection
On-policy training data for a DSpark
speculative-decoding drafter targeting
thinkingmachines/Inkling-Small-NVFP4.
Every assistant response here was regenerated by Inkling-Small-NVFP4 itself over prompts
drawn from Magpie + UltraChat, so the completions reflect the target model's own
distribution rather than the datasets' original responses. This is what makes the data
on-policy for drafter training: the drafter learns to predict the… See the full description on the dataset page: https://huggingface.co/datasets/orestis-z/Inkling-Small-NVFP4-Regenerated-Collection.hse-qa-corpus-v2-2026
SmartQHSE HSE Q&A Open Corpus v2 2026
64 curated occupational health and safety Q&A pairs spanning TRIR/LTIFR, ISO 45001, permits, risk assessment, OSHA, UK HSE, GCC regulations, and PPE.
Details
Publisher: SmartQHSE Ltd (https://www.smartqhse.com)
License: CC BY 4.0
Format: JSONL (UTF-8)
DOI: 10.5281/zenodo.20446337
Landing page: https://www.smartqhse.com/datasets/hse-qa-corpus-v2-2026
Citation
SmartQHSE Ltd (2026). SmartQHSE HSE Q&A Open… See the full description on the dataset page: https://huggingface.co/datasets/SmartQHSE/hse-qa-corpus-v2-2026.Small-HLE-Solved
Small-HLE-Solved
Small-HLE-Solved is a curated dataset consisting of challenging problems selected from the Humanity's Last Exam (HLE) benchmark. Each instance has been processed by an advanced teacher model to generate high-fidelity, multi-step reasoning paths. The dataset is formatted strictly in JSON Lines (jsonl), pairing each complex problem with a structured, step-by-step solution optimized for training next-generation reasoning models.
📂 Data Structure &… See the full description on the dataset page: https://huggingface.co/datasets/Axiom-AI/Small-HLE-Solved.sorrel-T-mistral-small-24b-base-seed0-documentsseli-smartcontract-audit-sft-backup
SELI smart-contract audit SFT — v7.1
Evidence-first EVM/Solidity audit SFT mix, deterministically rebuilt and
verified. Supersedes the v6.2-prepared mix (stage2 removed; the old state is
preserved on branch v6.2-prepared-backup and under legacy/v6.1).
Files
file
rows
sha256
train.jsonl
31,907
44c95d2f9e5a544e3d0b236d4157f84f1c857baf4ce212ba6235abe4216faaab
val.jsonl
730
906777d469d4c913f086aec1223fd17896f808f9204b8d3a5941135090154490
Every… See the full description on the dataset page: https://huggingface.co/datasets/0xtoshi/seli-smartcontract-audit-sft-backup.ovos-wake-word-bench-picovoice-smart-mirror
OVOS wake_word bench — picovoice-smart-mirror
Per-clip detection decisions predictions of the registered
OVOS Plugin Arena
wake_word fighters over
Picovoice/wake-word-benchmark.
One dedicated repo per modality; one dataset split per language; one JSONL
file per fighter under predictions/<lang>/<competitor_id>.jsonl. Rows follow
the arena §3.2 contract (pinned dataset_revision, plugin_version,
latency_ms). Produced by the reproducible benchmark script in the arena repo;
the… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-wake-word-bench-picovoice-smart-mirror.jawbreaker-scam-defense-data
Jawbreaker Scam Defense Data
Synthetic and sanitized training/eval data for Jawbreaker, a local-first scam defense app for someone you love.
Jawbreaker turns a suspicious text, email, or DM into a plain-English safety card: the risk, the warning signs, and the safest next step before someone replies, clicks, or pays.
Contents
eval/: scam-defense evaluation sets from smoke checks through hard calibration suites.
eval/reports/: guarded evaluation reports for the… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/jawbreaker-scam-defense-data.VellumK2T-Fiction-DPO-Small-01
Dataset Card for VellumK2T-Fiction-DPO-Small-01
A small-scale synthetic fiction dataset with 333 prompt-chosen-rejected pairs for Direct Preference Optimization (DPO), generated using the VellumForge2 pipeline and published as part of the VellumForge2 fiction collection on Hugging Face.
Dataset Details
Dataset Description
VellumK2T-Fiction-DPO-Small-01 is a synthetically generated dataset of fiction writing samples in DPO format. Each row contains:
A prompt: a… See the full description on the dataset page: https://huggingface.co/datasets/lemon07r/VellumK2T-Fiction-DPO-Small-01.smash-karts-multiplayer-trajectory
Smash Karts 멀티플레이 구현해줘
A single Codex coding-agent session implementing a multiplayer browser-based 3D
kart battle game inspired by Smash Karts.
The request covers multiplayer play, game rules, weapons and effects, keyboard
controls, research, and implementation. The trajectory records the development
process, tool calls and results, validation work, and the final response.
Field
Value
Session title
Smash Karts 멀티플레이 구현해줘
Session ID… See the full description on the dataset page: https://huggingface.co/datasets/amsminn/smash-karts-multiplayer-trajectory.Claude-Sonnet-X-Opus-4.6-Reasoning-small-500A mix of reasoning traces from Claude Sonnet 4.6 and Opus 4.6, I combined them all without tracking which model generated which. Prompts are sourced mostly from Reddit TIFU and Stack Overflow, so they're natural, human-written inputs rather than synthetic ones.
Reasoning trace lengths range from medium to long, and they're completely uncut, full traces, no summarization.
COST TO GENERATE: $0 / FREE
Shoutout to Kaggle's benchmark feature, which apparently lets you generate synthetic data with… See the full description on the dataset page: https://huggingface.co/datasets/Hastagaras/Claude-Sonnet-X-Opus-4.6-Reasoning-small-500.esci-us-small
ESCI Shopping Queries Dataset (US Locale - Small Version)
This is a curated subset of the Amazon Shopping Queries Dataset (ESCI), filtered for the US locale only and using the small version of the dataset.
Dataset Description
The Shopping Queries Dataset is a large-scale manually annotated dataset for improving product search, released by Amazon Science. It contains challenging search queries paired with products and human-labeled relevance judgments.
Original… See the full description on the dataset page: https://huggingface.co/datasets/shuttie/esci-us-small.small-qa-en-1kGenerate by MiniMax-M3
Dans-MemoryCore-CoreCurriculum-Small
Dan's Memory Core: Core Curriculum Small
Broad strokes
This dataset aims to provide a foundation of knowledge common to a number of fields and areas of study. The question answer pairs were generated using a RAG implementation and a curated selection of source material. Ideally this will be the first in a series of datasets that will cover a wide range of topics.
Nomic Atlas Visualiztion
Cluster visualization for the dataset available here.
Topics… See the full description on the dataset page: https://huggingface.co/datasets/PocketDoc/Dans-MemoryCore-CoreCurriculum-Small.for-the-small-shield-chapters
Foreword
The datasets contain information I extracted from the first draft and only draft of a novel called For The Small Shield, on github, written by me, Kalab J. Oster.
I used Claude's LLM to extract information from each chapter in order, creating a Graph mapping to improve the storytelling ability of a model fine-tuned with this dataset: wordsum/for-the-small-shield-instruct
I've tested the Graph data with my story bots with NousResearch/Hermes-2-Pro-Llama-3-8B fine-tuned… See the full description on the dataset page: https://huggingface.co/datasets/wordsum/for-the-small-shield-chapters.