datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
real-toxicity-prompts
Dataset Card for Real Toxicity Prompts
Dataset Summary
RealToxicityPrompts is a dataset of 100k sentence snippets from the web for researchers to further address the risk of neural toxic degeneration in models.
Languages
English
Dataset Structure
Data Instances
Each instance represents a prompt and its metadata:
{
"filename":"0766186-bc7f2a64cb271f5f56cf6f25570cd9ed.txt",
"begin":340,
"end":564,
"challenging":false… See the full description on the dataset page: https://huggingface.co/datasets/allenai/real-toxicity-prompts.ChatGPT-4o-Writing-Prompts
ChatGPT-4o Writing Prompts
This is a dataset containing 3746 short stories, generated with OpenAI's chatgpt-4o-latest model and using Reddit's Writing Prompts subreddit as a source. Each sample is generally between 6000-8000 characters long.
These stories were thoroughly cleaned and then further enriched with a title and a series of applicable genres.
Note that I did not touch the Markdown ChatGPT-4o produced by itself to enrich its output, as I very much enjoy the added flavour… See the full description on the dataset page: https://huggingface.co/datasets/Gryphe/ChatGPT-4o-Writing-Prompts.veo3-video-prompts
Veo 3 Video Generation Dataset
English | Português do Brasil
English
Summary
A collection of AI-generated videos created with Google's Veo 3 family of models. Each record contains the original text prompt, the model variant used, the generated video, and (when applicable) the input reference image. Videos are organized into one configuration per model variant.
Videos: 5,811
Input images: 1,354
Configurations: 6
Language of prompts: multilingual… See the full description on the dataset page: https://huggingface.co/datasets/artificialguybr/veo3-video-prompts.PromptShield
PromptShield Benchmark: A Flexible and Realistic Benchmark for Prompt Injection Attacks
This dataset accompanies the paper "[PromptShield: Deployable Detection for Prompt Injection Attacks]" (ArXiv Link) and is built from a curated selection of open-source datasets and published prompt injection attack strategies.
Dataset Details
Task: Binary classification of prompt injection attempts.
Fields:
prompt: The full text of the prompt, including instructions, inputs, and… See the full description on the dataset page: https://huggingface.co/datasets/hendzh/PromptShield.Official_LLM_System_Prompts
Official LLM System Prompts
This short dataset contains a few system prompts leaked from proprietary models. Contains date-stamped prompts from OpenAI, Anthropic, MS Copilot, GitHub Copilot, Grok, and Perplexity.
prompt-swap-mixed12-5xlr-e1-mxfp4-mergedprompt-swap-mixed12-5xlr-e2-mxfp4-mergedprompt-swap-medium12-e2-mxfp4-mergedReddit-SFW-Writing_Prompts_ShareGPTConverted, deslopped, min-hash deduplicated, rejection filtered, grammar corrected using: https://github.com/The-Chaotic-Neutrals/ShareGPT-Formaxxing
[Description Tags],"Deleted user", "Hello,\n\nYour post has been removed..", "Post has been deleted by user", "This post has been marked NSFW", duplicated system and human turns, etc has been removed.
llm-system-prompts-benchmark
Dataset Card for Dataset Name
This datset is a collection of 100 system prompts for large language models.
Dataset Details
Dataset Description
These 100 system prompts test a model's ability to follow grammatical patterns; answer basic multiple choice questions; act according to a particular persona; memorize information; and speak in French.
Files:
hundred_system_prompts.py: refer to this to see the (prompt, probe, function) triplets, as well as the… See the full description on the dataset page: https://huggingface.co/datasets/Naomibas/llm-system-prompts-benchmark.minimax-h3-video-prompts
MiniMax H3 Video Prompts
A small, curated collection of 50 structured prompts for text-to-video and image-to-video workflows. It covers cinematic scenes, characters, animation, nature, architecture, product shots, food, social video, and fantasy environments.
Use the prompts to create video
Copy a prompt from the dataset, adapt it to your idea, then generate the finished video online.
Create an AI video with MiniMax3.org →
Dataset details… See the full description on the dataset page: https://huggingface.co/datasets/jayseanbrambila/minimax-h3-video-prompts.AutoBench_Promptsfinance-deepseek-prompts-distill
We are soon launching an end-to-end data process—distillation and synthetic data—to train (SFT and RL) a financial agentic model!
Financial DeepSeek Distillation Prompts
Ready-to-paste prompts for manually distilling financial reasoning datasets through DeepSeek-V4 pro/flash (or any LLM) UI.
Available Datasets (English)
Dataset
Prompts
Size
Category
Target
finqa_train_prompts.jsonl
6,251
58 MB
Advanced Business Knowledge
2,948… See the full description on the dataset page: https://huggingface.co/datasets/RASSAISAID/finance-deepseek-prompts-distill.wikiprompt-prompts
Wikiprompt Prompts
The full prompt catalog of wikiprompt.org, the free prompt
encyclopedia: 115,000+ curated AI prompts with structured metadata (model, media type,
style, quality assessment, keywords) and links to the live pages.
Configs
default - the FULL catalog (wikiprompt_prompts.jsonl), refreshed monthly. This is
the row count you should compare against wikiprompt.org.
year-YYYY / YYYY-MM - stable snapshots per closed year and per closed month of the… See the full description on the dataset page: https://huggingface.co/datasets/lautaschiaffino/wikiprompt-prompts.webcode2m-natural-promptsturkish-flow-drafter-prompts
Turkish prompts for Chained-Flow drafter training
Chat-templated Turkish prompts used to train and evaluate the Turkish
Flow-Drafter
checkpoints for Qwen/Qwen3.5-4B / 9B / 27B.
Prompts only — no completions. A drafter is trained on the target model's own hidden states, so
continuations are generated locally by running the target over these prompts. Nothing here is a
model output.
split
rows
what it is
v1/
29,100 train + 300 holdout
the mixture the released Turkish… See the full description on the dataset page: https://huggingface.co/datasets/selimaktas/turkish-flow-drafter-prompts.llm_eval_promptsjapan-math-philosophy-prompts
Japan Math Philosophy Prompts
Microdataset autoral com problemas que combinam matemática e reflexão
filosófica. Há 24 registros: oito instâncias editoriais, cada uma localizada em
pt-BR, en e ja e mantida integralmente no split train.
Todo o conteúdo foi gerado por modelo e permanece sem revisão humana. As
respostas matemáticas funcionam como gabaritos curtos; os critérios filosóficos
indicam qualidades esperadas de uma justificativa, não uma opinião obrigatória.… See the full description on the dataset page: https://huggingface.co/datasets/guicybercode/japan-math-philosophy-prompts.llama-3.1-awesome-chatgpt-prompts
Dataset Card for Dataset Name
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/cfahlgren1/llama-3.1-awesome-chatgpt-prompts.allenai-WildChat-4.8M-prompts
allenai/WildChat-4.8M English Prompts
Dataset Summary
This dataset contains real user-submitted prompts to ChatGPT, extracted from the English portion of the allenai/WildChat-4.8M collection.
It serves as a large-scale resource for analyzing user intent, conversational diversity, and prompt engineering patterns.
Files
en_prompts: All English-language first messages from user conversations.
Each record represents the first user prompt.
Exact duplicates are… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/allenai-WildChat-4.8M-prompts.gemma4-materials-mechanism-prompts
Gemma 4 Materials-Mechanism Prompt Corpus
This dataset collects the exact scientific prompts and registered prompt metadata used in “Reading and Steering Materials Science-Mechanism Representations in an Open-Weight Language Model” by Markus J. Buehler. It is organized as 21 Hugging Face configurations so that historical development prompts, frozen evaluations, falsification tests, and exploratory follow-ups are not pooled into one ambiguous table.
The release is a prompt and… See the full description on the dataset page: https://huggingface.co/datasets/lamm-mit/gemma4-materials-mechanism-prompts.Reddit-NSFW-Writing_Prompts_ShareGPTConverted, deslopped, min-hash deduplicated, rejection filtered, grammar corrected using: https://github.com/The-Chaotic-Neutrals/ShareGPT-Formaxxing
[Description Tags],"Deleted user", "Hello,\n\nYour post has been removed..", "Post has been deleted by user", "This post has been marked NSFW", duplicated system and human turns, etc has been removed.
Tauri-Opus-Accepted-GPT-Rejected-Opus-Writing-Promptsprompt-safety-scores
Composite Safety Scoring for Prompts Using Multiple LLM Annotations
Introduction
Evaluating the safety of prompts is essential but challenging. Existing approaches often depend on predefined categories, which can be circumvented by new jailbreaks or attacks. Additionally, different tasks may require different safety thresholds.
This study explores using large language models (LLMs) themselves to annotate prompt safety. By combining these annotations, a continuous safety… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/prompt-safety-scores.tulu-2.5-prompts
Tulu 2.5 Prompts Dataset
This dataset contains the set of prompts used to train the PPO models described in Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback.
This contains only the prompts used during the PPO training.
Dataset Details
The description of each prompt goes as follows:
gsm8k_prompts: Prompts taken from the GSM8k train split.
ultrafeedback_prompts: The prompts from the cleaned UltraFeedback dataset.
math_prompts:… See the full description on the dataset page: https://huggingface.co/datasets/allenai/tulu-2.5-prompts.120-years-of-olympic-history-athletes-and-results-promptscfg-sensitive-video-prompts
CFG-Sensitive Video Prompts
A provenance-first, text-only prompt suite for comparing classifier-free guidance behavior in video generation. It contains 22 English prompts:
existing_visualized: 6 prompts used by the local Wan2.2-TI2V-5B CFG-only LoRA scale-sweep report.
cfg_sensitive_candidate: 16 additional prompts selected because color/attribute binding, numeracy, readable text, spatial relations, temporal change, fluid motion, weather, camera motion, multi-subject… See the full description on the dataset page: https://huggingface.co/datasets/Perflow-Shuai/cfg-sensitive-video-prompts.french-prompts-and-questions
Dataset français Prompt / Answer (multi-sources)
📌 Description
Ce dataset est un jeu de données en français au format prompt / answer, conçu pour l’entraînement, le fine-tuning et l’évaluation de modèles de langage (LLM).
Il résulte de la fusion et de la normalisation de plusieurs datasets publics, afin de proposer un format simple, homogène et facilement exploitable.
Chaque entrée contient :
prompt : question ou instruction utilisateur
answer : réponse attendue
type :… See the full description on the dataset page: https://huggingface.co/datasets/Houzeric/french-prompts-and-questions.prompts-for-claude-opus-4.6finqa-deepseek-prompts
FinQA → DeepSeek Distillation Prompts
Ready-to-paste prompts for manually distilling FinQA through DeepSeek-R1 (or any LLM) UI.
Files
File
Samples
Size
Description
finqa_train_prompts.jsonl
6,251
58 MB
Training split prompts
finqa_dev_prompts.jsonl
883
8 MB
Validation split prompts
finqa_test_prompts.jsonl
1,147
11 MB
Test split prompts
finqa_to_prompts.py
—
5 KB
Converter script (raw FinQA JSON → prompts)
view_prompts_for_ui.py
—
3 KB
Terminal… See the full description on the dataset page: https://huggingface.co/datasets/RASSAISAID/finqa-deepseek-prompts.