The Excellence
Directory Platform Template

A curated Awesome-style sub-collection within the APD (Awesome Public Datasets) core repository that indexes multiple high‑quality natural language datasets and lexical resources via individual YAML meta files (e.g., SQuAD, Universal Dependencies, WordNet). It serves as a meta directory of links to external NLP datasets, aligning with the broader Awesome ecosystem as a directory-of-resources pattern.

A curated awesome-style list of open 3D semantic city and region models (e.g., CityGML datasets), providing a centralized directory of high-quality 3D urban data sources.

A curated Awesome-style collection of biological and genomics datasets, including ENCODE, EMPIAR, Ensembl Genomes, GEO, Gene Ontology, GloBI, LINCS, HGDP, HMP, ICOS PSP Benchmark, HapMap, JCB DataViewer (via BioStudies), and KEGG. Each entry links out to the primary dataset resource along with a corresponding YAML metadata file in the awesomedata/apd-core GitHub repository, making this part of a larger meta collection of Awesome data directories.

A curated awesome-style collection of image processing and computer vision datasets, hosted under the Awesome Data (apd-core) project. The listed datasets (e.g., ImageNet, KITTI, Danbooru, DukeMTMC) are part of this meta awesome directory of specialized data resources.

A curated subset of the Awesome Public Datasets meta-collection, focusing on economics-related data sources such as macroeconomic indicators, trade statistics, productivity, corporate registries, and long-run historical series. This portion of the awesome list aggregates high‑quality, openly accessible economics datasets useful for research, data science, and policy analysis.

A curated Awesome-style subdirectory under the Awesome Public Datasets project focusing on Energy-related datasets (e.g., AMPds, BLUEd, COMBED, DBFC, ECO, Global Power Plant Database). It aggregates and links to high-quality, structured energy datasets useful for research and data science.

A curated sub-list within the broader Awesome ecosystem that catalogs high‑quality, official government and intergovernmental open data portals worldwide. This segment includes datasets from agencies such as the U.S. FDA, NCES, USPTO, UNESCO, national statistics bureaus, and open data catalogs for specific countries and cities, making it a meta-collection of government-focused open data resources useful for research, analytics, and open data projects.

A curated subset of the Awesome Public Datasets project that catalogs high-quality, publicly available social network datasets (e.g., Twitter scrapes, Enron email, Facebook graphs). This collection functions as an "awesome-style" directory specifically focused on social network data, providing structured metadata files for each dataset to make discovery and reuse easier across the wider awesome ecosystem.

A curated set of time series datasets listed in the Awesome Public Datasets directory, including realistic and public time-series resources such as industrial sensor data, national statistics, hardware failure logs, biomedical signals, and academic time-series repositories. This collection serves as a meta-directory entry point for practitioners looking for high-quality time-series data within the broader Awesome ecosystem.

GitHub’s topic index page listing all public repositories tagged with the `awesome` topic, effectively serving as a central directory of Awesome lists across domains.

An awesome-style curated list of open-source Chinese large language models, focused on smaller-scale models suitable for private deployment, along with domain-specific fine-tunes, applications, datasets, and tutorials.

Awesome Repositories is a curated, GitHub-hosted collection of repositories that provide free resources, serving as a meta-directory of valuable GitHub projects. It aligns with the broader "Awesome" ecosystem by organizing and linking to multiple resource-rich repos in one place.