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01CertainlyUncertain /ThinkMorph-Pro-E3-20260914 ThinkMorph E3 experiment artifacts This repository stages the four E3 perception-ratio experiment datasets. Publication is incomplete. The current validation object is one unmodified media asset from the frozen s1p0 mixture. It is not a complete training dataset. Training proceeds from validated local data; public delivery is independent. Source provenance and hashes will accompany complete dataset publication. imagen<1K0 likes14k downloads8d agoHugging Face02ShareLab-SII /thinking_fmb_dataset_lerobot_output_qwen3vlimage1M<n<10M0 likes6.3k downloads6mo agoHugging Face03OpenDataArena /MMFineReason-Full-2.3M-Qwen3-VL-235B-Thinking MMFineReason-Full-2.3M The Complete Pre-Selection Dataset — Before Quality Filtering 📖 Overview MMFineReason-Full-2.3M is the complete pre-selection dataset containing 2.3M samples and 8.8B solution tokens, generated through our reasoning distillation pipeline before the data selection stage. This dataset includes all samples that passed basic template and length validation, but have not undergone correctness verification filtering. 🎯 Key Characteristics… See the full description on the dataset page: https://huggingface.co/datasets/OpenDataArena/MMFineReason-Full-2.3M-Qwen3-VL-235B-Thinking.imagevisual-question-answering1M<n<10M65 likes5.4k downloads8mo agoHugging Face04ShareLab-SII /thinking_droid_lerobot_output_qwen3vlimage1M<n<10M0 likes4.1k downloads5mo agoHugging Face05ThinkingHub /PP SteelBench: A Diagnostic Benchmark for Vision-Language Models in Industrial Safety Monitoring SteelBench is a diagnostic benchmark of densely annotated CCTV clips from an operating integrated steel plant. It is designed to evaluate vision-language models (VLMs) on real-world industrial action recognition, PPE assessment, and safety-violation detection — under naturally occurring degradation (dust, glare, steam, low light), at distances and crowdedness levels that curated… See the full description on the dataset page: https://huggingface.co/datasets/ThinkingHub/PP.imagevideo-classification1K<n<10K0 likes3.1k downloads3mo agoHugging Face06ShareLab-SII /thinking_furniture_bench_dataset_lerobot_output_qwen3vlimage1M<n<10M0 likes1.8k downloads6mo agoHugging Face07OpenDataArena /MMFineReason-SFT-586K-Qwen3-VL-235B-Thinking MMFineReason-SFT-586K The Hardest 33% — Less Data, More Reasoning 📖 Overview MMFineReason-SFT-586K is a difficulty-filtered subset of MMFineReason-1.8M, containing the hardest 33% of samples where Qwen3-VL-4B-Thinking do not consistently succeed. (pass rate ≠ 1). Specifically, this subset removes all easy samples (pass rate = 1) under Qwen3-VL-4B-Thinking, retaining only instances that require non-trivial multimodal reasoning. 🎯 Key Highlights 586K… See the full description on the dataset page: https://huggingface.co/datasets/OpenDataArena/MMFineReason-SFT-586K-Qwen3-VL-235B-Thinking.image100K<n<1M6 likes1.6k downloads8mo agoHugging Face08OpenDataArena /MMFineReason-1.8M-Qwen3-VL-235B-Thinking MMFineReason Closing the Multimodal Reasoning Gap via Open Data-Centric Methods Average score across mathematical reasoning and multimodal understanding benchmarks. 📖 Overview MMFineReason is a large-scale, high-quality multimodal reasoning dataset comprising 1.8M samples and 5.1B solution tokens, featuring detailed reasoning annotations distilled from Qwen3-VL-235B-A22B-Thinking. 🎯 Key Highlights 1.8M High-Quality Samples with 5.1B Solution Tokens… See the full description on the dataset page: https://huggingface.co/datasets/OpenDataArena/MMFineReason-1.8M-Qwen3-VL-235B-Thinking.imagevisual-question-answering1M<n<10M126 likes1.6k downloads7mo agoHugging Face09ericktwo /MMFineReason-Full-2.3M-Qwen3-VL-235B-Thinking MMFineReason-Full-2.3M The Complete Pre-Selection Dataset — Before Quality Filtering 📖 Overview MMFineReason-Full-2.3M is the complete pre-selection dataset containing 2.3M samples and 8.8B solution tokens, generated through our reasoning distillation pipeline before the data selection stage. This dataset includes all samples that passed basic template and length validation, but have not undergone correctness verification filtering. 🎯 Key Characteristics… See the full description on the dataset page: https://huggingface.co/datasets/ericktwo/MMFineReason-Full-2.3M-Qwen3-VL-235B-Thinking.imagevisual-question-answering1M<n<10M1 likes1.4k downloads8mo agoHugging Face10NarsAI /FineReason-1.8M-Qwen3-VL-235B-Thinking MMFineReason Closing the Multimodal Reasoning Gap via Open Data-Centric Methods Average score across mathematical reasoning and multimodal understanding benchmarks. 📖 Overview MMFineReason is a large-scale, high-quality multimodal reasoning dataset comprising 1.8M samples and 5.1B solution tokens, featuring detailed reasoning annotations distilled from Qwen3-VL-235B-A22B-Thinking. 🎯 Key Highlights 1.8M High-Quality Samples with 5.1B Solution Tokens… See the full description on the dataset page: https://huggingface.co/datasets/NarsAI/FineReason-1.8M-Qwen3-VL-235B-Thinking.imagevisual-question-answering1M<n<10M0 likes1.3k downloads8mo agoHugging Face11krishnateja95 /ImageNet-Think ImageNet-Think 250K ImageNet-Think 250K is a large-scale synthetic multimodal reasoning dataset containing of 250,000 images sampled from ImageNet-21K dataset. For each image, we provide a prompt and two different step-by-step reasoning tokens and outputs (answers), enabling evaluation and training for Vision Language Models on reasoning tasks. This dataset is primarily designed for research on multimodal summarization. Installation & Setup Before downloading… See the full description on the dataset page: https://huggingface.co/datasets/krishnateja95/ImageNet-Think.imagesummarization100K<n<1M4 likes1.1k downloads1y agoHugging Face12Sandeepthakur /MMFineReason-1.8M-Qwen3-VL-235B-Thinking MMFineReason Closing the Multimodal Reasoning Gap via Open Data-Centric Methods Average score across mathematical reasoning and multimodal understanding benchmarks. 📖 Overview MMFineReason is a large-scale, high-quality multimodal reasoning dataset comprising 1.8M samples and 5.1B solution tokens, featuring detailed reasoning annotations distilled from Qwen3-VL-235B-A22B-Thinking. 🎯 Key Highlights 1.8M High-Quality Samples with 5.1B Solution Tokens… See the full description on the dataset page: https://huggingface.co/datasets/Sandeepthakur/MMFineReason-1.8M-Qwen3-VL-235B-Thinking.imagevisual-question-answering1M<n<10M0 likes1k downloads8mo agoHugging Face13UCSC-VLAA /VLAA-Thinking SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models 🌐 Project Page • 📄 Arxiv • 💻 Code 🤗 VLAA-Thinker Family • 🤔 VLAA-Thinking Dataset 🤗 VLAA-Thinker-Qwen2.5-3B • 🤗 VLAA-Thinker-Qwen2.5-7B Both VLAA-Thinker-Qwen2.5-3B and VLAA-Thinker-Qwen2.5-7Bachieve SOTA performance on OpenCompass Multimodal Reasoning Leaderboard as of April 7th, 2025. Contents Quick Start 🚀… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/VLAA-Thinking.documentvisual-question-answeringn<1K20 likes819 downloads1y agoHugging Face14ShareLab-SII /thinking_stanford_hydra_dataset_lerobot_output_qwen3vlimage100K<n<1M0 likes776 downloads6mo agoHugging Face15RuoliuYang /textlatent_zebra_thinkmorph_armAB Text-Latent (Arm A) vs All-Latent (Arm B) — Zebra-CoT + ThinkMorph 35638 samples/arm, 18 categories. Schema = ULVR/williamium style (sample_id, category, source_dataset, question, answer, input_image, intermediate_image_N, num_intermediate_steps, messages_json). armA_text_latent: real decoded text CoT + latent visual blocks (intermediate_image_1..3). armB_render_latent: reasoning text RENDERED to images, all-latent baseline (intermediate_image_1..17). messages_json = full Monet… See the full description on the dataset page: https://huggingface.co/datasets/RuoliuYang/textlatent_zebra_thinkmorph_armAB.image100K<n<1M0 likes602 downloads2mo agoHugging Face16OpenDataArena /MMFineReason-SFT-123K-Qwen3-VL-235B-Thinking MMFineReason-SFT-123K The Hardest 7% — Less Data, More Reasoning 📖 Overview MMFineReason-SFT-123K is a difficulty-filtered subset of MMFineReason-1.8M, containing only the hardest 7% of samples where Qwen3-VL-4B-Thinking consistently fails (pass rate = 0). 🎯 Key Highlights 123K Challenging Samples: Only instances where a 4B thinking model fails all 4 inference attemptsEfficient Training: Comparable performance to full 1.8M dataset with only 7% of… See the full description on the dataset page: https://huggingface.co/datasets/OpenDataArena/MMFineReason-SFT-123K-Qwen3-VL-235B-Thinking.imagevisual-question-answering100K<n<1M86 likes588 downloads8mo agoHugging Face17MBZUAI /ThinkGeo ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks imagen<1K4 likes488 downloads6mo agoHugging Face18ShareLab-SII /thinking_taco_play_lerobot_output_qwen3vlimage100K<n<1M0 likes382 downloads6mo agoHugging Face19ThinkMorph /Jigsaw_Assembly 🌟 This repo contains part of the training dataset for model ThinkMorph-7B. Dataset Description We create an enriched interleaved dataset centered on four representative tasks requiring varying degrees of visual engagement and cross-modal interactions, including Jigsaw Assembly, Spatial Navigation, Visual Search and Chart Refocus. Statistics Dataset Usage Data Downloading… See the full description on the dataset page: https://huggingface.co/datasets/ThinkMorph/Jigsaw_Assembly.imageany-to-any1K<n<10K0 likes294 downloads11mo agoHugging Face20dans25275 /MMFineReason-1.8M-Qwen3-VL-235B-Thinking MMFineReason Closing the Multimodal Reasoning Gap via Open Data-Centric Methods Average score across mathematical reasoning and multimodal understanding benchmarks. 📖 Overview MMFineReason is a large-scale, high-quality multimodal reasoning dataset comprising 1.8M samples and 5.1B solution tokens, featuring detailed reasoning annotations distilled from Qwen3-VL-235B-A22B-Thinking. 🎯 Key Highlights 1.8M High-Quality Samples with 5.1B Solution Tokens… See the full description on the dataset page: https://huggingface.co/datasets/dans25275/MMFineReason-1.8M-Qwen3-VL-235B-Thinking.imagevisual-question-answering1M<n<10M0 likes290 downloads8mo agoHugging Face21AmirhoseinGH /mhlc-training-qwen3vl-qwen3_vl_2b_thinking_hard_mixed_sources_120k Multi Head Latent Control Training Data - Qwen3-VL 2B Thinking hard Mixed Sources 120k Dataset Description This repository contains verified training data for the Multi Head Latent Control paper release. It is part of the Multi Head Latent Control training data Hugging Face collection. Paper https://arxiv.org/abs/2607.14277 Code https://github.com/Amirhosein-gh98/Multi-Head-Latent-Control Dataset Summary Field… See the full description on the dataset page: https://huggingface.co/datasets/AmirhoseinGH/mhlc-training-qwen3vl-qwen3_vl_2b_thinking_hard_mixed_sources_120k.imagequestion-answering100K<n<1M0 likes281 downloads2mo agoHugging Face22AmirhoseinGH /mhlc-training-qwen3.5-qwen3_5_9b_think_off_hard_mixed_sources_120k Multi Head Latent Control Training Data - Qwen3.5 9B think off hard Mixed Sources 120k Dataset Description This repository contains verified training data for the Multi Head Latent Control paper release. It is part of the Multi Head Latent Control training data Hugging Face collection. Paper https://arxiv.org/abs/2607.14277 Code https://github.com/Amirhosein-gh98/Multi-Head-Latent-Control Dataset Summary Field… See the full description on the dataset page: https://huggingface.co/datasets/AmirhoseinGH/mhlc-training-qwen3.5-qwen3_5_9b_think_off_hard_mixed_sources_120k.imagequestion-answering100K<n<1M0 likes278 downloads2mo agoHugging Face23ahmedheakl /llavacot-thinkimage10K<n<100K2 likes268 downloads2y agoHugging Face24ThinkingRM /Generation-Reviewimagen<1K0 likes267 downloads3mo agoHugging Face25AmirhoseinGH /mhlc-training-qwen3vl-qwen3_vl_4b_thinking_hard_mixed_sources_120k Multi Head Latent Control Training Data - Qwen3-VL 4B Thinking hard Mixed Sources 120k Dataset Description This repository contains verified training data for the Multi Head Latent Control paper release. It is part of the Multi Head Latent Control training data Hugging Face collection. Paper https://arxiv.org/abs/2607.14277 Code https://github.com/Amirhosein-gh98/Multi-Head-Latent-Control Dataset Summary Field… See the full description on the dataset page: https://huggingface.co/datasets/AmirhoseinGH/mhlc-training-qwen3vl-qwen3_vl_4b_thinking_hard_mixed_sources_120k.imagequestion-answering100K<n<1M0 likes244 downloads2mo agoHugging Face26appletea2333 /ThinkEditimage0 likes241 downloads9mo agoHugging Face27UoM-CS-NeuroSymbolicAI /pred_qwen3vl_think_10kimage1K<n<10K0 likes233 downloads5mo agoHugging Face28AmirhoseinGH /mhlc-training-qwen3.5-qwen3_5_4b_think_off_hard_mixed_sources_120k Multi Head Latent Control Training Data - Qwen3.5 4B think off hard Mixed Sources 120k Dataset Description This repository contains verified training data for the Multi Head Latent Control paper release. It is part of the Multi Head Latent Control training data Hugging Face collection. Paper https://arxiv.org/abs/2607.14277 Code https://github.com/Amirhosein-gh98/Multi-Head-Latent-Control Dataset Summary Field… See the full description on the dataset page: https://huggingface.co/datasets/AmirhoseinGH/mhlc-training-qwen3.5-qwen3_5_4b_think_off_hard_mixed_sources_120k.imagequestion-answering100K<n<1M0 likes206 downloads2mo agoHugging Face29AmirhoseinGH /mhlc-training-gemma4-gemma4_e4b_it_think_on_hard_mixed_sources_120k Multi Head Latent Control Training Data - Gemma 4 E4B it think on hard Mixed Sources 120k Dataset Description This repository contains verified training data for the Multi Head Latent Control paper release. It is part of the Multi Head Latent Control training data Hugging Face collection. Paper https://arxiv.org/abs/2607.14277 Code https://github.com/Amirhosein-gh98/Multi-Head-Latent-Control Dataset Summary Field… See the full description on the dataset page: https://huggingface.co/datasets/AmirhoseinGH/mhlc-training-gemma4-gemma4_e4b_it_think_on_hard_mixed_sources_120k.imagequestion-answering100K<n<1M0 likes171 downloads2mo agoHugging Face30ShareLab-SII /thinking_dobbe_lerobot_output_qwen3vlimage1M<n<10M0 likes151 downloads6mo agoHugging Face

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