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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01Viet-Mistral /CulturaY CulturaY: A Large Cleaned Multilingual Dataset of 75 Languages Dataset Summary From the team that brought you CulturaX, we present CulturaY, another substantial multilingual dataset of 15TB (uncompressed)/3TB (zstd-compressed) that applies the same dataset cleaning methodology to the HPLT v1.1 dataset. Please note that HPLT v1.2 has also been released and is an alternative verison with different cleaning methodolgies. This data was used in part to train our SOTA… See the full description on the dataset page: https://huggingface.co/datasets/Viet-Mistral/CulturaY.texttext-generation1B<n<10B39 likes6.5k downloads2y agoHugging Face02MisterAI /Wiki_FR_2026.07_TexteIntroductif Version Complète : MisterAI/WM-ENT-API-DUMP_FR_2026.07 https://huggingface.co/datasets/MisterAI/WM-ENT-API-DUMP_FR_2026.07 ESSAI I : Section Introductive Uniquement :: Jeux De Données : Dump WikiMedia Français Juillet 2026 : Extraction et Nettoyage Description Ce JDD contient des articles extraits du dump complet de Wikimedia Enterprise de juillet 2026, nettoyés et structurés pour l'entraînement de modèles d'apprentissage automatique. Source… See the full description on the dataset page: https://huggingface.co/datasets/MisterAI/Wiki_FR_2026.07_TexteIntroductif.texttext-generation1B<n<10B1 likes749 downloads1d agoHugging Face03mistral-hackaton-2026 /zebra-cot-mistral-small-3.2-24b-preprocessed Zebra-CoT Preprocessed — Mistral Hackathon 2026 Preprocessed version of the Zebra-CoT dataset for fine-tuning Mistral-Small-3.2-24B-Instruct. Format text: formatted as [INST] question [/INST] <think> reasoning </think> answer image: PIL JPEG image for the corresponding visual task Usage Fine-tuning Mistral-Small-3.2-24B on chain-of-thought visual reasoning. Hackathon Created for Mistral Hackaton 2026 — Fine-tuning track with W&B. imagevisual-question-answering100K<n<1M0 likes382 downloads7mo agoHugging Face04snorkelai /Snorkel-Mistral-PairRM-DPO-Dataset Dataset: This is the data used for training Snorkel model We use ONLY the prompts from UltraFeedback; no external LLM responses used. Methodology: Generate 5 response variations for each prompt from a subset of 20,000 using the LLM - to start, we used Mistral-7B-Instruct-v0.2. Apply PairRM for response reranking. Update the LLM by applying Direct Preference Optimization (DPO) on the top (chosen) and bottom (rejected) responses. Use this LLM as the base model for the next… See the full description on the dataset page: https://huggingface.co/datasets/snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset.texttext-generation10K<n<100K45 likes252 downloads3y agoHugging Face05Lots-of-LoRAs /task076_splash_correcting_sql_mistake Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task076_splash_correcting_sql_mistake Additional Information Citation Information The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it: @misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions, title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task076_splash_correcting_sql_mistake.texttext-generation1K<n<10K0 likes246 downloads2y agoHugging Face06MisterAI /WM-ORG-XML-DUMP_FR_2026.08 Jeux De Données : Dump WikiMedia Français Août 2026 : Extraction et Nettoyage Complet Description Ce JDD contient des articles extraits du dump complet de Wikimedia d'août 2026, nettoyés et structurés pour l'entraînement de modèles d'apprentissage automatique. Source originale : https://www.wikimedia.org/ Licence : https://creativecommons.org/licenses/by-sa/4.0/deed.en Dump source : https://dumps.wikimedia.org/frwiki/latest/ Fichiers traités (4 fichiers «… See the full description on the dataset page: https://huggingface.co/datasets/MisterAI/WM-ORG-XML-DUMP_FR_2026.08.texttext-generation100K<n<1M0 likes103 downloads1d agoHugging Face07MisterAI /WM-ENT-API-DUMP_FR_2026.07 Jeux De Données : Dump WikiMedia Français Juillet 2026 : Extraction et Nettoyage Complet Description Ce JDD contient des articles extraits du dump complet de Wikimedia d'août 2026, nettoyés et structurés pour l'entraînement de modèles d'apprentissage automatique. Source originale : Wikimedia Enterprise Licence : CC BY 4.0 Volume initial : 46 Go en tar.gz : ~120-150 Go décompressés Volume final nettoyé : 14.6 Go : 144 fichiers .jsonl Fichiers traités : 144… See the full description on the dataset page: https://huggingface.co/datasets/MisterAI/WM-ENT-API-DUMP_FR_2026.07.texttext-generation100K<n<1M0 likes70 downloads1d agoHugging Face08worldbench /MIST-Train ✨ SCOPE Training Data ✨ Matched preference quartets for Signal-Counterfactual Preference Optimization Xian Sun1 · Wei Chow2 · Yingshuo Wang3 · Junhao Liu4 · Wei Gao5 · Qing Wu6 · Lingdong Kong2 1 Duke University &nbsp;&nbsp;·&nbsp;&nbsp; 2 National University of Singapore &nbsp;&nbsp;·&nbsp;&nbsp; 3 UC Berkeley &nbsp;&nbsp;·&nbsp;&nbsp; 4 UC Irvine &nbsp;&nbsp;·&nbsp;&nbsp; 5 Northeastern University &nbsp;&nbsp;·&nbsp;&nbsp; 6 Nanyang… See the full description on the dataset page: https://huggingface.co/datasets/worldbench/MIST-Train.texttext-generation1K<n<10K0 likes69 downloads2mo agoHugging Face09ruggsea /stanford-encyclopedia-of-philosophy_chat_multi_turn_mistral_largeThis dataset is essentially identical to the Stanford Encyclopedia of Philosophy Chat Multi-turn Dataset, with one key difference: it uses Mistral Large 2 for conversation generation instead of LLaMA 3.1 70B. All other aspects, including format, statistics, and intended use, remain the same as the original dataset. texttext-generation10K<n<100K5 likes65 downloads2y agoHugging Face10ProCreations /Mistake-To-Meaning Clear Spelling Dataset Overview The Mistake to Meaning (M2M) dataset is a carefully crafted synthetic collection of 100,000 unique English spelling mistakes and their correct forms, intended for training high-quality typo correction and spell checking AI models. It covers various types of common mistakes observed frequently in real-world scenarios, such as: Keyboard adjacency typos Letter swaps and omissions Duplicate characters Phonetic substitution errors Commonly… See the full description on the dataset page: https://huggingface.co/datasets/ProCreations/Mistake-To-Meaning.texttext-generation100K<n<1M6 likes63 downloads1y agoHugging Face11danlou /based-chat-v0.1-Mistral-Nemo-Base-2407 Based-Chat v0.1 (Mistral Nemo Base 2407) This dataset was developed as part of an exploration into understanding the necessity of supervised datasets for fine-tuning base LLMs into conversational models. It's a synthetic dataset created with Mistral-Nemo-Base-2407, and used to fine-tune that model, producing relay-v0.1-Mistral-Nemo-2407. Methodology This synthetic dataset is generated using the following as conversation starters: facebook/empathetic_dialogues… See the full description on the dataset page: https://huggingface.co/datasets/danlou/based-chat-v0.1-Mistral-Nemo-Base-2407.texttext-generation100K<n<1M1 likes59 downloads2y agoHugging Face12qualcomm /qualcomm-interactive-cooking-dataset-counterfactual-mistakes Qualcomm Interactive Cooking Dataset: Ego Counterfactual Mistakes Description This synthetic dataset contains mistake-intervention annotations for interactive cooking guidance. Each row contains video segment with instruction/feedback text pairs and their timestamps. Dataset Details Files: annotations.json Release statistics: Total rows: 25,087 Unique videos (dataset + video_id): 1,110 Rows by source dataset: CaptainCook4D: 4,969 Ego4D: 13,847 Ego-Exo4D: 6… See the full description on the dataset page: https://huggingface.co/datasets/qualcomm/qualcomm-interactive-cooking-dataset-counterfactual-mistakes.documenttext-generation10K<n<100K1 likes50 downloads5mo agoHugging Face13mistral-hackaton-2026 /robuchan-data Robuchan Dataset Synthetic dietary recipe adaptation dataset for fine-tuning language models. Each example is a chat-format conversation where a user provides a recipe and dietary restriction, and the assistant produces a structured adaptation. Generated for the Mistral AI Worldwide Hackathon Tokyo (Feb 28 - Mar 1, 2026). Associated model: sumitdotml/robuchan Dataset Structure Splits Split Rows Purpose train 1,090 Fine-tuning training set… See the full description on the dataset page: https://huggingface.co/datasets/mistral-hackaton-2026/robuchan-data.texttext-generation1K<n<10K0 likes41 downloads7mo agoHugging Face14siqi00 /mistral_ultrafeedback_unhelpful_chatprompt_0.7_1.0_50_320This dataset is used in the paper Discriminative Finetuning of Generative Large Language Models without Reward Models and Preference Data. It contains paired examples of "real" conversation turns and multiple generated alternatives. The goal is to train a model to discriminate between high-quality and low-quality generations. The dataset is structured as follows: Each example contains a "real" conversation turn and 16 generated alternatives. Each turn is represented as a list of… See the full description on the dataset page: https://huggingface.co/datasets/siqi00/mistral_ultrafeedback_unhelpful_chatprompt_0.7_1.0_50_320.texttext-generation10K<n<100K0 likes40 downloads2y agoHugging Face15davidpistori /mistral-legal-french-dataset Mistral Legal French Dataset A fine-tuning dataset for French legal domain, optimized with curriculum learning strategy. 📋 Table of Contents Overview Dataset Composition Methodology 1. Chain-of-Thought Generation 2. LegalKit Extraction 3. Curriculum Learning Fusion Data Format Quality Metrics Usage Citations License 🎯 Overview This dataset was created to fine-tune Mistral-7B-Instruct-v0.3 on French legal domain tasks. It combines two… See the full description on the dataset page: https://huggingface.co/datasets/davidpistori/mistral-legal-french-dataset.texttext-generation10K<n<100K0 likes37 downloads3mo agoHugging Face16ryan98153 /remove-mistake-1500It is a dataset for training remove mistake sentences in a content. 1000 short contents are generated with Gemini 1.5 for at least 100 topics. texttext-generation1K<n<10K1 likes36 downloads2y agoHugging Face17Vrda /synthetic-medical-mistakes-dataset Synthetic Medical Mistakes Dataset (SFT Training Data) A dataset of 350 synthetic clinical reports with gold-standard error annotations, generated by state-of-the-art LLMs for supervised fine-tuning of clinical error detection models. Created as part of the Clinipal project. Dataset Description Overview This dataset was designed to train AI models to detect critical patient safety errors in clinical documentation. Each entry contains a synthetic emergency… See the full description on the dataset page: https://huggingface.co/datasets/Vrda/synthetic-medical-mistakes-dataset.texttext-classificationn<1K1 likes33 downloads7mo agoHugging Face18bala1524 /Medical-QA-Mistral7B-Finetuningtextquestion-answeringn<1K6 likes30 downloads3y agoHugging Face19VinceGx33 /mistral-legal-french-dataset Mistral Legal French Dataset A fine-tuning dataset for French legal domain, optimized with curriculum learning strategy. 📋 Table of Contents Overview Dataset Composition Methodology 1. Chain-of-Thought Generation 2. LegalKit Extraction 3. Curriculum Learning Fusion Data Format Quality Metrics Usage Citations License 🎯 Overview This dataset was created to fine-tune Mistral-7B-Instruct-v0.3 on French legal domain tasks. It combines two complementary… See the full description on the dataset page: https://huggingface.co/datasets/VinceGx33/mistral-legal-french-dataset.texttext-generation10K<n<100K2 likes30 downloads11mo agoHugging Face20CoolSpring /morse-code-mistral-dpoModified from snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset. Only train_iteration_1 and test_iteration_1 were used. Rows with unsupported characters were filtered out. was created in an attempt to teach the model to talk in Morse code prompt: original prompt field chosen: last message in original chosen field, encoded in Morse code with CyberChef rejected: last message in original chosen field texttext-generation10K<n<100K0 likes27 downloads2y agoHugging Face21hari560 /Mistral_AI_Medical_Datasettexttext-generation10K<n<100K2 likes20 downloads2y agoHugging Face22ZachW /mistral-small-3.2-24b-instruct-2506_aime-all mistralai/Mistral-Small-3.2-24B-Instruct-2506 — aime-all Model outputs from the micro-creativity inference suite. Model: mistralai/Mistral-Small-3.2-24B-Instruct-2506 Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/mistral-small-3.2-24b-instruct-2506_aime-all.tabulartext-generationn<1K0 likes20 downloads5mo agoHugging Face23ZachW /mistral-small-3.2-24b-instruct-2506_writingbench-en100 mistralai/Mistral-Small-3.2-24B-Instruct-2506 — writingbench-en100 Model outputs from the micro-creativity inference suite. Model: mistralai/Mistral-Small-3.2-24B-Instruct-2506 Dataset: writingbench-en100 (100 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 8192 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/mistral-small-3.2-24b-instruct-2506_writingbench-en100.tabulartext-generationn<1K0 likes19 downloads5mo agoHugging Face24alvarobartt /instruction-dataset-mistral-7b-instruct-v0.2 HuggingFaceH4/instruction-dataset but generated with Mistral-7B-Instruct-v0.2 This dataset has been generated with distilabel v1.0.0.b0 using vLLM and running mistralai/Mistral-7B-Instruct-v0.2, using the prompt column from the dataset HuggingFaceH4/instruction-dataset. texttext-generationn<1K0 likes18 downloads3y agoHugging Face25DataPilot /Zero_SFT_Ja_by_Mistral_Small DataPilot/Zero_SFT_Ja_by_Mistral_Small このデータセットは、日本語で記述された高品質な合成プロンプトとそのAI出力を収録しています。すべてのデータは Mistral Small 3.1 24B Instruct 2503 モデルを使用してゼロから合成されています。 概要 項目 詳細 データセット名 DataPilot/Zero_SFT_Ja_by_Mistral_Small 言語 日本語 データ作成方法 完全自動生成（モデルによるゼロショット合成） 使用モデル Mistral Small 3.1 24B Instruct 2503 フォーマット JSONL（id, input, output, conversation） ライセンス Apache-2.0 作成コード foxn2000/zero_one_instruction データセット構造 データセットには以下のカラムが含まれています。 カラム名… See the full description on the dataset page: https://huggingface.co/datasets/DataPilot/Zero_SFT_Ja_by_Mistral_Small.texttext-generation1K<n<10K1 likes17 downloads1y agoHugging Face26Marco-Danz /veneto-mistral-dataset Veneto Mistral Dataset A conversational dataset for training AI models in Venetian language (vèneto). Description This dataset was created to preserve and digitalize the Venetian language through artificial intelligence. It contains approximately 11,800 examples of conversations, texts, and translations in Venetian language, extracted from authentic sources and validated for linguistic quality. The dataset was specifically designed for fine-tuning large language models… See the full description on the dataset page: https://huggingface.co/datasets/Marco-Danz/veneto-mistral-dataset.texttext-generation10K<n<100K1 likes17 downloads8mo agoHugging Face27ZachW /mistral-small-3.2-24b-instruct-2506_alpaca-text-generation-384 mistralai/Mistral-Small-3.2-24B-Instruct-2506 — alpaca-text-generation-384 Model outputs from the micro-creativity inference suite. Model: mistralai/Mistral-Small-3.2-24B-Instruct-2506 Dataset: alpaca-text-generation-384 (384 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 16384 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/mistral-small-3.2-24b-instruct-2506_alpaca-text-generation-384.tabulartext-generationn<1K0 likes17 downloads5mo agoHugging Face28ZachW /mistral-small-3.2-24b-instruct-2506_ifeval mistralai/Mistral-Small-3.2-24B-Instruct-2506 — ifeval Model outputs from the micro-creativity inference suite. Model: mistralai/Mistral-Small-3.2-24B-Instruct-2506 Dataset: ifeval (541 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 16384 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/mistral-small-3.2-24b-instruct-2506_ifeval.tabulartext-generationn<1K0 likes16 downloads5mo agoHugging Face29ZachW /mistral-small-3.2-24b-instruct-2506_storygen-prompts-200 mistralai/Mistral-Small-3.2-24B-Instruct-2506 — storygen-prompts-200 Model outputs from the micro-creativity inference suite. Model: mistralai/Mistral-Small-3.2-24B-Instruct-2506 Dataset: storygen-prompts-200 (200 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 16384 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/mistral-small-3.2-24b-instruct-2506_storygen-prompts-200.tabulartext-generationn<1K0 likes16 downloads5mo agoHugging Face30HachiML /JMT-Bench-result_self-rewarding_Mistral-7B-lora JMT-Bench result Answer language JMT-Benchの回答のうち、Englishで回答した件数 Model Count mistralai/Mistral-7B-v0.3 25 HachiML/Mistral-7B-v0.3-m1-lora 7 HachiML/Mistral-7B-v0.3-m2-lora 7 HachiML/Mistral-7B-v0.3-m3-lora 2 tabulartext-generationn<1K0 likes14 downloads2y agoHugging Face

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