Model Hub
Browse PQC-verified AI models, datasets, and tools
TxT360: A Top-Quality LLM Pre-training Dataset Requires the Perfect Blend Changelog Version Details v1.1 Added new data sources: TxT360_BestOfWeb, TxT360_QA, europarl-aligned, and wikipedia_extended. Details of v1.1 Additions TxT360_BestOfWeb: This is a filtered version of the TxT360 dataset, created using the ProX document filtering model. The model is similar to the FineWeb-Edu classifier, but also assigns an additional format score that… See the full description on the dataset page: https://huggingface.co/datasets/LLM360/TxT360.
Precancer → Tumor → Late/Metastatic Progression Multi-omics A curated, continuously-harvested collection of publicly available human multi-omics datasets spanning the full tumor trajectory: precancerous lesions → early carcinoma → advanced / metastatic. Single-cell and spatial transcriptomics are prioritized. ⚠️ Provenance & licensing. Every dataset here was downloaded from a public, open-access repository (no controlled-access or patient-identifiable data). Each dataset… See the full description on the dataset page: https://huggingface.co/datasets/wei82/precancer-omics-data.
State-of-the-art text embedding model. Top of MTEB leaderboard with strong retrieval and clustering.
✨ Note: For all FineInstructions resources please visit: https://huggingface.co/fineinstructions This dataset is ~1B+ synthetic instruction-answer pairs or ~300B tokens created using the FineInstructions pipeline. The FineInstructions pipeline was run over the raw pre-training documents in the Nemotron-CC pre-training corpus (a subset of high-quality documents from CommonCrawl). See our paper for more details. Each .parquet file in the data folderhas a corresponding judge-*.json file that… See the full description on the dataset page: https://huggingface.co/datasets/fineinstructions/fineinstructions_nemotron.