Dataset

DeepMind's AlphaGenome Atlas maps every single-letter change in the human genome with 1 impact score per variant.

Adaption Labs has released Invent a Dataset, which generates a structured, training-ready dataset from a description of the behavior you want a model to learn. There is no seed corpus, no schema design, and no labeling guide. A single datasets.invent call sets domains, row count, output format, and language expansion, and the rows download as JSONL, JSON, CSV, or Parquet. The dataset ID then passes straight into AutoScientist, closing an intent-to-trained-model loop.

Feyn Labs has released SQRL, a family of text-to-SQL models that inspect a database with read-only probes before committing to a query. The flagship SQRL-35B-A3B reports 70.6% execution accuracy on BIRD Dev, edging Claude Opus 4.6, and distills into self-hostable 4B and 9B checkpoints.

In this tutorial, we explore the FineWeb dataset through an advanced hands-on workflow. We stream a manageable sample of the dataset without downloading the...

We build an end-to-end spatial graph learning pipeline using city2graph. We collect urban POI and street network data from OpenStreetMap, with a synthetic fallback for reliability. We engineer spatial features, construct several proximity graph families, and compare how each represents the same urban environment. We then build heterogeneous and homogeneous graphs, convert them to PyTorch Geometric, and train a GraphSAGE model to predict POI categories from spatial structure.

In this tutorial, we demonstrate how to move beyond static, code-heavy charts and build a genuinely interactive exploratory data analysis workflow directly using PyGWalker....

Alibaba Tongyi Lab research team released 'Zvec', an open source, in-process vector database that targets edge and on-device retrieval workloads. It is positioned as...

Google is closing an old gap between Kaggle and Colab. Colab now has a built in Data Explorer that lets you search Kaggle datasets,...

Hugging Face has just released FineVision, an open multimodal dataset designed to set a new standard for Vision-Language Models (VLMs). With 17.3 million images,...

Challenges in Dexterous Hand Manipulation Data Collection Creating large-scale data for dexterous hand manipulation remains a major challenge in robotics. Although hands offer greater flexibility...

In artificial intelligence and machine learning, high-quality datasets play a crucial role in developing accurate and reliable models. However, collecting extensive, verified data—particularly in...

Multimodal Art Projection (M-A-P) researchers have introduced FineFineWeb, a large open-source automatic classification system for fine-grained web data. The project decomposes the deduplicated Fineweb...

For education research, access to high-quality educational resources is critical for learners and educators. Often perceived as one of the most challenging subjects, mathematics...

CloudFerro and European Space Agency (ESA) Φ-lab have introduced the first global embeddings dataset for Earth observations, a significant development in geospatial data analysis....

Drug-induced toxicity is a major challenge in drug development, contributing significantly to the failure of clinical trials. While efficacy issues account for most failures,...

Large Vision Language Models (LVLMs) have demonstrated significant advancements across various challenging multi-modal tasks over the past few years.  Their ability to interpret visual...

The field of natural language processing (NLP) has grown rapidly in recent years, creating a pressing need for better datasets to train large language...