datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mt_bench_prompts
MT Bench by LMSYS
This set of evaluation prompts is created by the LMSYS org for better evaluation of chat models.
For more information, see the paper.
Dataset loading
To load this dataset, use 🤗 datasets:
from datasets import load_dataset
data = load_dataset(HuggingFaceH4/mt_bench_prompts, split="train")
Dataset creation
To create the dataset, we do the following for our internal tooling.
rename turns to prompts,
add empty reference to remaining prompts… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceH4/mt_bench_prompts.ChatGPT-Jailbreak-Promptsrl-lm-formality-promptsrl-lm-imdb-promptsrl-lm-toxicity-promptsverbalist_prompts
Verbalist (буквоед) - русскоязычный ассистент.
Проект во многом вдохновленный Saiga.
Мною были собраны все самые качественные датасеты с huggingface.datasets, а также собраны дополнительно с тех сайтов, которые я посчитал весьма полезными для создания аналога ChatGPT. Лицензии у всех датасетов отличаются, какие-то по типу OpenAssistant/oasst1 были созданы специально для обучения подобных моделей, какие-то являются прямой выгрузкой диалогов с ChatGPT (RyokoAI/ShareGPT52K).
Вклад… See the full description on the dataset page: https://huggingface.co/datasets/DeepPavlov/verbalist_prompts.in-the-wild-jailbreak-prompts
In-The-Wild Jailbreak Prompts on LLMs
This is the official repository for the ACM CCS 2024 paper "Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models by Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang.
In this project, employing our new framework JailbreakHub, we conduct the first measurement study on jailbreak prompts in the wild, with 15,140 prompts collected from December 2022 to December 2023 (including 1,405… See the full description on the dataset page: https://huggingface.co/datasets/TrustAIRLab/in-the-wild-jailbreak-prompts.Stable-Diffusion-Prompts
Stable Diffusion Dataset
This is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: "Lexica.art". It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare.
If you want to test the model with a demo, you can go to: "spaces/Gustavosta/MagicPrompt-Stable-Diffusion".
If you want to see the model, go to: "Gustavosta/MagicPrompt-Stable-Diffusion".
product-photography-v1-tiny-prompts-tasks-collage-filtered10k_prompts_ranked
Dataset Card for 10k_prompts_ranked
10k_prompts_ranked is a dataset of prompts with quality rankings created by 314 members of the open-source ML community using Argilla, an open-source tool to label data. The prompts in this dataset include both synthetic and human-generated prompts sourced from a variety of heavily used datasets that include prompts.
The dataset contains 10,331 examples and can be used for training and evaluating language models on prompt ranking tasks. The… See the full description on the dataset page: https://huggingface.co/datasets/data-is-better-together/10k_prompts_ranked.White-Hat-Security-Agent-Prompts-600K
White Hat Security Agent Prompts 600K
Overview
The White-Hat-Security-Agent-Prompts-600K dataset is a practitioner-perspective security prompts corpus of 596,295 richly contextualized queries, designed to represent how real-world defensive security professionals communicate, interrogate, and reason through active threat scenarios.
Where most security datasets catalogue CVEs, malware signatures, or CTF write-ups, this collection teaches models to operate from inside the… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/White-Hat-Security-Agent-Prompts-600K.stack-prompts
The stack-prompts
This dataset is a curated collection of high-quality educational and synthetic data designed for training (small) language models in coding tasks.
The current dataset comprises three config names:
python-edu: comprises the blob_ids from https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus
the-stack: comprises the blob_ids (for powershell only) from https://huggingface.co/datasets/bigcode/the-stack-v2.
stack-edu: comprises the blob_ids from… See the full description on the dataset page: https://huggingface.co/datasets/Fhrozen/stack-prompts.winograd_wsc_wsc273_promptsourcechatbot_instruction_prompts
Dataset Card for Chatbot Instruction Prompts Datasets
Dataset Summary
This dataset has been generated from the following ones:
tatsu-lab/alpaca
Dahoas/instruct-human-assistant-prompt
allenai/prosocial-dialog
The datasets has been cleaned up of spurious entries and artifacts. It contains ~500k of prompt and expected resposne. This DB is intended to train an instruct-type model
voice-acting-cutscene-prompts
Cut-Scene Voice-Acting Prompts
Continuously-generated, character-consistent two-scene "CUT TO:" voice-performance
prompts (text only, no audio) for training and evaluating expressive TTS / voice-acting
models. Each prompt describes a single speaker across two sharply contrasting emotional
moments separated by a CUT TO: transition, in a voice-acting stage-direction format
(spoken lines in "quotes", performance notes in (parentheses)).
Total prompts: 4,057,000
Languages: English… See the full description on the dataset page: https://huggingface.co/datasets/laion/voice-acting-cutscene-prompts.chroma_promptsA collection of prompts captioned using Gemma 2b captioning model. These prompts are intended to be used with FLUX Chroma model.
Download .parquet files to your Google Drive and
run them using the .ipynb notebook in this repo
items_prompts_liteopenthoughts4-code-9168-prompts-qwen3-32b-n16-flattened-logprobs-k16
OpenThoughts-4 Code SDG: Qwen3-32B (n=16, top-16 logprobs)
Synthetic generations from
Qwen/Qwen3-32B
on the Marin OpenThoughts-4 code SDG prompt
set.
Each prompt is sampled n=16 times, and for every generated token the dataset
stores the chosen-token log probability plus the top-16 log probabilities
over the vocabulary, enabling distillation, KL-style fine-tuning,
reranking, and uncertainty analysis.
Generation setup
Field
Value
Generator model… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/openthoughts4-code-9168-prompts-qwen3-32b-n16-flattened-logprobs-k16.winograd_wsc_wsc285_promptsourceopenthoughts4-code-9168-prompts-qwen3-30b-a3b-thinking-2507-n16-flattened-logprobs-k16
OpenThoughts-4 Code SDG: Qwen3-30B-A3B-Thinking-2507 (n=16, top-16 logprobs)
Synthetic generations from
Qwen/Qwen3-30B-A3B-Thinking-2507
on the Marin OpenThoughts-4 code SDG prompt
set.
Each prompt is sampled n=16 times, and for every generated token the dataset
stores the chosen-token log probability plus the top-16 log probabilities
over the vocabulary, enabling distillation, KL-style fine-tuning,
reranking, and uncertainty analysis.
Generation setup
Field… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/openthoughts4-code-9168-prompts-qwen3-30b-a3b-thinking-2507-n16-flattened-logprobs-k16.transcripts
My Weird Prompts — Transcript Corpus
Every published transcript from the My Weird Prompts
podcast, shaped for textual analysis: narrowed metadata, the full transcript, the
same transcript segmented into speaker turns, and per-episode text statistics.
5,307 episodes · 461,639 speaker turns. Rebuilt daily from the
production database.
Configs
from datasets import load_dataset
episodes = load_dataset("My-Weird-Prompts/transcripts", "episodes", split="train") # one… See the full description on the dataset page: https://huggingface.co/datasets/My-Weird-Prompts/transcripts.midjourney-prompts-embeddings
Midjourney Prompt–Embedding Dataset
This dataset is derived from our COLM 2024 paper, Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images. The paper studies whether multimodal language models can infer prompts that generate images visually similar to target images produced by text-to-image systems or found in stock image collections, highlighting the relationship between real-world prompts and generated images as well as broader economic and security… See the full description on the dataset page: https://huggingface.co/datasets/AliN96/midjourney-prompts-embeddings.hyperpartisan_news_detection_bypublisher_promptsourceimproved-flux-prompts-photoreal-portrait
Photo Portrait Prompt Dataset for FLUX
Overview
This dataset contains a curated collection of prompts specifically designed for generating photo portraits using FLUX.1, an advanced text-to-image model. These prompts are crafted to produce high-quality, lifelike portraits by leveraging sophisticated prompting techniques and best practices.
Latest Version
Improved on October 3, 2024.
This version has undergone curation and improvement. What is new?
Cleaned up… See the full description on the dataset page: https://huggingface.co/datasets/k-mktr/improved-flux-prompts-photoreal-portrait.stable-diffusion-prompts-stats-full-uncensoredepisodes
My Weird Prompts - Episode Dataset
The production record of every episode of the
My Weird Prompts podcast: metadata, the transcript,
and the generation telemetry for how each episode was made - model, pipeline
version, GPU, timings and compute cost.
5,333 episodes. Synced daily from the production database.
from datasets import load_dataset
ds = load_dataset("My-Weird-Prompts/episodes", split="train")
Which dataset do you want?
This one… See the full description on the dataset page: https://huggingface.co/datasets/My-Weird-Prompts/episodes.scientific_papers_arxiv_promptsourceGPT-4-PromptsMulti-Turn Conversational Prompts from ChatGPT-4 (10K+ Tokens)
Abstract:
This dataset offers a valuable collection of multi-turn conversational prompts generated by ChatGPT-4, carefully curated for diverse prompt styles (chatml, gemma, llama). Each prompt exceeds 10,000 tokens, providing ample context and inspiration for training and evaluating large language models. Ideal for researchers and developers interested in exploring advanced conversational AI capabilities.
Table of Contents:… See the full description on the dataset page: https://huggingface.co/datasets/erfanzar/GPT-4-Prompts.medal_promptsourceMoD-Prompts
prompted verison of Crystalcareai/MoD
datasets used:
jsonifize/Tested-188k-Python-Alpaca_stringified-jsonifize
Norquinal/WizardLM_alpaca_claude_evol_instruct_70k
allenai/ai2_arc
Squish42/bluemoon-fandom-1-1-rp-cleaned
google/boolq
LDJnr/Capybara
mattpscott/airoboros-summarization
Locutusque/Hercules-v1.0
lmsys/lmsys-chat-1m
Muennighoff/natural-instructions
HuggingFaceH4/no_robots
grimulkan/PIPPA-augmented-dedup
euclaise/reddit-instruct
teknium/OpenHermes-2.5
ropes… See the full description on the dataset page: https://huggingface.co/datasets/erfanzar/MoD-Prompts.