🍃 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-2023-23.
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Pull with QuantumShield
quantumshield pull mlfoundations/MINT-1T-PDF-CC-2023-23 Verify integrity
quantumshield verify mlfoundations/MINT-1T-PDF-CC-2023-23 pip install
pip install quantumshield && quantumshield pull mlfoundations/MINT-1T-PDF-CC-2023-23 PQC-Verified with ML-DSA-87
This model has a real FIPS 204 ML-DSA-87 (Dilithium5) signature from the platform signing authority. Signature chain includes 2 verification(s). Last verified 2026-05-01.
README.md
MINT-1T-PDF-CC-2023-23
🍃 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-2023-23.
Intended Uses
This model is registered on the QuantaMrkt quantum-safe registry. All files have been cryptographically verified using post-quantum signatures.
Quick Start
# Install the CLI pip install quantumshield # Pull the model quantumshield pull mlfoundations/MINT-1T-PDF-CC-2023-23 # Verify file integrity quantumshield verify mlfoundations/MINT-1T-PDF-CC-2023-23
About
🍃 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-2023-23.
Get this model
Pull with QuantumShield
quantumshield pull mlfoundations/MINT-1T-PDF-CC-2023-23 Verify signatures
quantumshield verify mlfoundations/MINT-1T-PDF-CC-2023-23