Datasets
Training datasets with quantum-safe provenance
Dataset Card for "trivia_qa" Dataset Summary TriviaqQA is a reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaqQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per question on average, that provide high quality distant supervision for answering the questions. Supported Tasks and Leaderboards More Information Needed Languages… See the full description on the dataset page: https://huggingface.co/datasets/mandarjoshi/trivia_qa.
Zyda-2 Zyda-2 is a 5 trillion token language modeling dataset created by collecting open and high quality datasets and combining them and cross-deduplication and model-based quality filtering. Zyda-2 comprises diverse sources of web data, highly educational content, math, code, and scientific papers. To construct Zyda-2, we took the best open-source datasets available: Zyda, FineWeb, DCLM, and Dolma. Models trained on Zyda-2 significantly outperform identical models trained on the… See the full description on the dataset page: https://huggingface.co/datasets/jobs-git/Zyda-2.
The GitHub Code dataest consists of 115M code files from GitHub in 32 programming languages with 60 extensions totalling in 1TB of text data. The dataset was created from the GitHub dataset on BiqQuery.
🍃 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.
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.
Dataset Card for "qasc" Dataset Summary QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences. Supported Tasks and Leaderboards More Information Needed Languages More Information Needed Dataset Structure Data Instances default Size of… See the full description on the dataset page: https://huggingface.co/datasets/allenai/qasc.
⚠️ 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.
Dataset Card for CML-TTS Dataset Summary CML-TTS is a recursive acronym for CML-Multi-Lingual-TTS, a Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligence (CEIA) of the Federal University of Goias (UFG). CML-TTS is a dataset comprising audiobooks sourced from the public domain books of Project Gutenberg, read by volunteers from the LibriVox project. The dataset includes recordings in Dutch, German, French, Italian, Polish… See the full description on the dataset page: https://huggingface.co/datasets/ylacombe/cml-tts.
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.
UTDQuake: University of Texas at Dallas Earthquake Dataset A global earthquake dataset constructed from high-quality source and receiver metadata, including associated seismic phase picks across diverse station geometries. Installation (utdquake) pip install utdquake Documentation Full documentation for UTDQuake is available here: You will see: QuickStart guide to get you up and running Detailed API reference Tutorials… See the full description on the dataset page: https://huggingface.co/datasets/ecastillot/UTDQuake.
OpenMathInstruct-2 OpenMathInstruct-2 is a math instruction tuning dataset with 14M problem-solution pairs generated using the Llama3.1-405B-Instruct model. The training set problems of GSM8K and MATH are used for constructing the dataset in the following ways: Solution augmentation: Generating chain-of-thought solutions for training set problems in GSM8K and MATH. Problem-Solution augmentation: Generating new problems, followed by solutions for these new problems.… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/OpenMathInstruct-2.
Dataset Card for "uspto_full" More Information needed
Ultra-FineWeb 📜 Technical Report | 📦 UltraData Collection | 🌐 UltraData | 🤗 MiniCPM4 Series | 🤗 MiniCPM5 Series English | 中文 📚 Introduction Ultra-FineWeb is a large-scale, high-quality, and efficiently-filtered dataset. We use the proposed efficient verification-based high-quality filtering pipeline to the FineWeb and Chinese FineWeb datasets (source data from Chinese FineWeb-edu-v2, which includes IndustryCorpus2, MiChao, WuDao, SkyPile… See the full description on the dataset page: https://huggingface.co/datasets/openbmb/Ultra-FineWeb.
Forecast News Deduplicated daily news corpus used by forecast-sim and future-sim. Snapshot 31,696,086 articles 3,401 daily partitions Coverage: 2016-08-26 through 2026-06-30 Snapshot published: 2026-07-13 Stored data size: approximately 168.8 GB The Parquet files are the canonical complete representation. The repository also contains daily JSONL files where available and compact headline JSON files used by article-browsing workflows. Layout Files… See the full description on the dataset page: https://huggingface.co/datasets/shash42/forecast-news.
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 GPQA GPQA is a multiple-choice, Q&A dataset of very hard questions written and validated by experts in biology, physics, and chemistry. When attempting questions out of their own domain (e.g., a physicist answers a chemistry question), these experts get only 34% accuracy, despite spending >30m with full access to Google. We request that you do not reveal examples from this dataset in plain text or images online, to reduce the risk of leakage into foundation model… See the full description on the dataset page: https://huggingface.co/datasets/Idavidrein/gpqa.