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HuggingFace CEO Clement Delangue compiled 250 open AI milestones from the US, highlighting contributions like Transformers, PyTorch, BERT, GPT-2, and Llama, with a call to maintain openness in AI development.
A collection of cybersecurity datasets for machine learning and model training, covering network traffic, malware, web attacks, phishing, and more, including notable public research datasets like LANL, CTU-13, and UNSW-NB15.
A curated collection of GNN papers, datasets, and implementation tools, hosted on GitHub.
Strauss Zelnick explains that AI is limited by backward-looking data and can reproduce the known but not create breakthroughs, placing value on human decisions about what to build.
This article discusses how China has rapidly advanced in AI despite being a latecomer, questioning the sources of datasets, computing power, and algorithms that enabled companies like DeepSeek to catch up with US leaders like OpenAI and Google.
Today, Macrodata Labs announced its launch, along with Refiner, an open-source framework for processing robotics datasets. The framework aims to help teams extract more signal from demonstrations and sensor data.
The author, an ML student, questions the robotics community about data interoperability issues and proposes an experiment to normalize and enrich public robotics datasets for better reuse.
This paper presents open multimodal datasets and open-source software packages for reproducible AI-enabled thermal-fluid research, introducing a spatial-temporal dimensionality framework and tools like SeqReg for sequence regression.
A developer thanks 5,000 followers for supporting OpenMed, an open-source clinical AI project, and hints at upcoming model and dataset releases.
HuggingFace benchmark datasets now allow filtering by model size, enabling comparisons like 'best model under 32B on swebenchverified'.
A personal reflection on the challenges and allure of training an AI model from scratch, highlighting the difficulties with data, hardware, and scaling, while noting that surprisingly good small models can be trained on modest hardware.
A discussion on the scarcity of realistic datasets for AI agent workflows, noting that existing benchmarks fail to capture messy production scenarios like tool failures, ambiguous requests, and long conversational drift, and seeking recommendations for better datasets.
Hugging Face launches Storage Buckets, a purpose-built storage solution for AI teams offering per-TB pricing, built-in CDN, and Xet deduplication for model weights, datasets, and checkpoints.
A curated list of instruction and reasoning datasets for LLMs, compiled by mlabonne, with details on dataset characteristics, licenses, and use cases.
Clement Delangue promotes Hugging Face's infrastructure for hosting models, datasets, and agent memory, claiming it's better, faster, cheaper, and safer than S3 or R2.
Celebrating a community milestone of 1 million datasets on Hugging Face, highlighting the collaborative effort to advance AI through open data.
Hugging Face announces that its Hub has reached a milestone of 1 million open datasets, highlighting the importance of open data for open models.
MTSlive has released UFO-related datasets on Hugging Face, challenging the community to train the first computer vision model for UAP detection.