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1,501 results
ULVR_v2_clean
ULVR v2 clean Universal Latent Visual Reasoning training data, cleaned. 8 categories (subsets); each has train + validation…
CharXiv
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs NeurIPS 2024 🏠Home (🚧Still in construction) 🤗Data 🥇Leaderboard…
OmniCorpus-CC
🐳 OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text ⭐️ NOTE: Several parquet files…
Zebra-CoT
Zebra‑CoT A diverse large-scale dataset for interleaved vision‑language reasoning traces. Dataset Description Zebra‑CoT is a diverse large‑scale…
FUSION-Finetune-12M
FUSION-12M Dataset Please see paper & website for more information: Overview FUSION-12M is a large-scale, diverse multimodal instruction-tuning…
Molmo2-SynMultiImageQA
Molmo2-SynMultiImageQA Molmo2-SynMultiImageQA is a collection of synthetic multi-image question-answer pairs about various kinds of text-rich images,…
ULVR-filtered
ULVR-filtered Filtered subset of RuoliuYang/ULVR v2 clean: the 101,951 training samples that Qwen2.5-VL-7B-Instruct answered incorrectly given only…
REVERSE
REVERSE Dataset Dataset for REVERSE (Reinforcing Evidence Verification and Search for Agentic Image Geolocation). This dataset supports training…
Cambrian Vision-Centric Benchmark (CV-Bench)
Cambrian Vision-Centric Benchmark (CV-Bench)
Kvasir-VQA-x1
Kvasir-VQA-x1 A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy Kvasir-VQA-x1 on GitHub Original Image…
ChartGalaxy
ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation 🤗 Dataset 🖥️ Code 📄 Paper 🔥 News 2026.02…
Cauldron-JA
Dataset Card for The Cauldron-JA Dataset description The Cauldron-JA is a Vision Language Model dataset that translates 'The…
MMMU_Pro
MMMU-Pro (A More Robust Multi-discipline Multimodal Understanding Benchmark) 🌐 Homepage 🏆 Leaderboard 🤗 Dataset 🤗 Paper 📖 arXiv…
Irodori-Ja-Spk2-10k
SynDataLab/Irodori-Ja-Spk2-10k 10,000 single-speaker conversational Japanese utterances synthesized with Irodori-TTS-500M-v2. Part of a 4-speaker…