Model Hub
Browse PQC-verified AI models, datasets, and tools
State-of-the-art text-to-image model with exceptional prompt adherence and image quality. 12B parameter rectified flow transformer.
Dataset Card for MMLU Dataset Summary Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt (ICLR 2021). This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The test spans subjects in the humanities, social sciences, hard sciences, and other areas that are important for some people to learn. This covers 57 tasks… See the full description on the dataset page: https://huggingface.co/datasets/cais/mmlu.
FineNews FineNews is a multilingual news-text dataset for language-model research. It filters and deduplicates a 2021–2025 snapshot of the INFINI-NEWS Corpus, which extracts articles from Common Crawl CC-News. At a glance Measure FineNews Input articles 852,824,802 Infini-News rows from 2021–2025 Output 392,627,654 physical rows Files 294,509 Parquet files Folders 60 publication months (2021-01 to 2025-12), then language Language folders 129… See the full description on the dataset page: https://huggingface.co/datasets/ksolovev/fine-news.
Dataset Card for "ai2_arc" Dataset Summary A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also including a corpus of over 14 million science sentences relevant to… See the full description on the dataset page: https://huggingface.co/datasets/allenai/ai2_arc.
Dataset Card for GLUE Dataset Summary GLUE, the General Language Understanding Evaluation benchmark (https://gluebenchmark.com/) is a collection of resources for training, evaluating, and analyzing natural language understanding systems. Supported Tasks and Leaderboards The leaderboard for the GLUE benchmark can be found at this address. It comprises the following tasks: ax A manually-curated evaluation dataset for fine-grained analysis of system… See the full description on the dataset page: https://huggingface.co/datasets/nyu-mll/glue.
MNBVC: Massive Never-ending BT Vast Chinese corpus