Model Hub

🍃 MINT-1T:Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens 🍃 MINT-1T is an open-source Multimodal INTerleaved dataset with 1 trillion text tokens and 3.4 billion images, a 10x scale-up from existing open-source datasets. Additionally, we include previously untapped sources such as PDFs and ArXiv papers. 🍃 MINT-1T is designed to facilitate research in multimodal pretraining. 🍃 MINT-1T is created by a team from the University of Washington in… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations/MINT-1T-PDF-CC-2023-14.

Marco-LongSpeech Dataset Marco-LongSpeech is a multi-task long speech understanding dataset containing 8 different speech understanding tasks designed to benchmark Large Language Models on lengthy audio inputs. 📊 Dataset Statistics Task Statistics Task Train Val Test Total Unique Audios ASR 71,275 15,273 15,274 101,822 101,822 Temporal_Relative_QA 5,886 1,261 1,262 8,409 8,409 summary 4,366 935 937 6,238 6,238… See the full description on the dataset page: https://huggingface.co/datasets/ATH-MaaS/Marco_Longspeech.

The CT-RATE Team organizes the VLM3D Challenge VLM3D 2026 (2nd Edition) → Challenge Finals at MICCAI 2026 VLM3D 2025 (1st Edition) → Challenge Finals at MICCAI 2025 • Workshop at ICCV 2025 The CT-RATE Team is developing the MR-RATE Dataset A large-scale brain MRI dataset with paired radiology reports for training 3D vision-language models. GitHub   |   Dataset   |   Metadata Dashboard Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography… See the full description on the dataset page: https://huggingface.co/datasets/ibrahimhamamci/CT-RATE.

Dataset Card for PAWS: Paraphrase Adversaries from Word Scrambling Dataset Summary PAWS: Paraphrase Adversaries from Word Scrambling This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification. The dataset has two subsets, one based on Wikipedia and the other one based on the Quora Question Pairs (QQP) dataset. For further… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/paws.

Dataset Card for IFEval Dataset Summary This dataset contains the prompts used in the Instruction-Following Eval (IFEval) benchmark for large language models. It contains around 500 "verifiable instructions" such as "write in more than 400 words" and "mention the keyword of AI at least 3 times" which can be verified by heuristics. To load the dataset, run: from datasets import load_dataset ifeval = load_dataset("google/IFEval") Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/google/IFEval.

Fineweb-Edu-Fortified The composition of fineweb-edu-fortified, produced by automatically clustering a 500k row sample in Airtrain What is it? Fineweb-Edu-Fortified is a dataset derived from Fineweb-Edu by applying exact-match deduplication across the whole dataset and producing an embedding for each row. The number of times the text from each row appears is also included as a count column. The embeddings were produced using TaylorAI/bge-micro Fineweb and… See the full description on the dataset page: https://huggingface.co/datasets/airtrain-ai/fineweb-edu-fortified.

ProgramBench Generated Tests This dataset contains the AI-generated behavioral test suites used to evaluate model solutions in ProgramBench. ProgramBench is a benchmark that evaluates whether language models can rebuild programs from scratch. Given only a compiled binary and its documentation, AI agents must architect and implement a complete codebase that reproduces the original program's behavior. These test suites are used to assess whether a candidate solution is behaviorally… See the full description on the dataset page: https://huggingface.co/datasets/programbench/ProgramBench-Tests.

⚠️ WARNING: This dataset is intended ONLY for reproducing Olmo 3 7B ⚠️ For all other training use cases, including training from scratch, please utilize our primary dolma 3 data mix: https://huggingface.co/datasets/allenai/dolma3_mix-6T. Note: Some olmOCR science PDFs in the current dataset have been redacted following the training of Olmo 3 7B. These texts are indicated with [REMOVED] in the text field. This will affect reproducibility of Olmo 3 7B. For this reason, please use our… See the full description on the dataset page: https://huggingface.co/datasets/allenai/dolma3_mix-6T-1025-7B.

MNBVC: Massive Never-ending BT Vast Chinese corpus

21cm Hydrogen Line Sky Survey Continuous 1-second-cadence power spectra of the 21cm neutral hydrogen (HI) line at 1420.405 MHz, recorded 24/7 from a fixed omnidirectional observer on the US East Coast. What this is A radio telescope pointed at the whole sky, recording one spectrum per second, indefinitely. The Earth's rotation scans the beam across the galactic plane daily, producing a natural drift scan. Every row is a self-timestamped power spectrum spanning 2… See the full description on the dataset page: https://huggingface.co/datasets/phanerozoic/hi-21cm-survey.

Dataset Card for "uspto_full" More Information needed

MICCAI FLARE25 Task 4: Foundation Models for 3D CT and MRI Scans (Homepage) This is the official dataset for CT image foundation model development. We provide 10,000+ CT scans for model pretraining. Downstream tasks include: Abdominal disease classification Abdominal lesion segmentation Abdominal organ segmentation Lung lesion segmentation Dataset Dataset Name Task Metric Source License Abdominal Disease Classification multi-label… See the full description on the dataset page: https://huggingface.co/datasets/FLARE-MedFM/FLARE-Task4-CT-FM.

Audio-FLAN Dataset (Paper) (the FULL audio files and jsonl files are still updating) An Instruction-Tuning Dataset for Unified Audio Understanding and Generation Across Speech, Music, and Sound. 1. Dataset Structure The Audio-FLAN-Dataset has the following directory structure: Audio-FLAN-Dataset/ ├── audio_files/ │ ├── audio/ │ │ └── 177_TAU_Urban_Acoustic_Scenes_2022/ │ │ └── 179_Audioset_for_Audio_Inpainting/ │ │ └── ... │ ├── music/ │ │ └──… See the full description on the dataset page: https://huggingface.co/datasets/HKUSTAudio/Audio-FLAN-Dataset.

Dataset Card for YODAS-Granary Repository: NeMo-speech-data-processor: Granary Paper: Granary: Speech Recognition and Translation Dataset in 25 European Languages Shared by: ESPnet Dataset Description YODAS-Granary is a curated subset of the larger nvidia/Granary dataset, focusing on high-quality pseudo-labeled speech data for Automatic Speech Recognition (ASR) and Automatic Speech Translation (AST) across 23 European languages. Overview… See the full description on the dataset page: https://huggingface.co/datasets/espnet/yodas-granary.

🥂 FineWeb2 A sparkling update with 1000s of languages What is it? This is the second iteration of the popular 🍷 FineWeb dataset, bringing high quality pretraining data to over 1000 🗣️ languages. The 🥂 FineWeb2 dataset is fully reproducible, available under the permissive ODC-By 1.0 license and extensively validated through hundreds of ablation experiments. In particular, on the set of 9 diverse languages we used to guide our processing decisions, 🥂 FineWeb2… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/fineweb-2.

PandaBench PandaBench is a comprehensive benchmark for evaluating Large Language Model (LLM) safety, focusing on jailbreak attacks, defense mechanisms, and evaluation methodologies. The PandaGuard framework architecture illustrating the end-to-end pipeline for LLM safety evaluation. The system connects three key components: Attackers, Defenders, and Judges. Dataset Description This repository contains the benchmark results from extensive evaluations of various LLMs… See the full description on the dataset page: https://huggingface.co/datasets/Beijing-AISI/panda-bench.

Helsinki-NLP/fineweb-edu-translated fineweb-edu-tanslated is a collection of automatically translated documents from fineweb-edu. Translations are based on OPUS-MT and HPLT-MT models. The data covers 36,704,000 documents with over 28 billion space-searated tokens of English data translated into 36 languages. The total data set is incudes of over 960 billion tokens and the translated documents are aligned across all languages. More information about how the data has been produced can… See the full description on the dataset page: https://huggingface.co/datasets/Helsinki-NLP/fineweb-edu-translated.