“datasets”

Build and run evals for LLM and agent systems: golden datasets, LLM-as-a-judge with bias control, trajectory/step/outcome scoring, adversarial refuters, and…

Investigate outliers, rare events, spikes, and suspicious records in datasets.

Search and index BCO-DMO datasets via ERDDAP, scan ISO 19115 for depth/pressure variables, and emit merged N-Triples (output.nt) from ODIS-pattern schema.org…

Query Cloudflare Workers Analytics Engine datasets using SQL.

Use when a tabular dataset (CSV, Excel, Parquet, Stata, SAS) needs a data dictionary.

Scans AI training data pipelines and datasets to detect bias, data poisoning, label corruption, and statistical anomalies that could compromise autonomous AI…

Bring an existing non-compliant catalog or published dataset into Portolan compliance without rebuilding it.

Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.

This skill should be used for book-to-SFT pipelines: ePub extraction, literary segmentation, author-voice dataset construction, style-transfer training, LoRA…

Dataset annotation management — COCO labels, sequences, export, and Kaggle upload

Build RAG / unstructured-document evaluation datasets and demo documents (e.g.

Run the CDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset…

Use when analysing tabular data — CSV, Excel or JSON — computing aggregates, finding anomalies, cleaning messy data, or answering questions about a dataset…

Use DIG (Dive into Graphs) to load graph-learning datasets, run graph generation, self-supervised learning, GNN explainability, 3D graph learning, GOOD OOD…

Query and analyze structured CSV datasets on critical minerals production, trade, and supply chains

Molecular ML with diverse featurizers and pre-built datasets.

Organizes, queries, validates, and converts Brain Imaging Data Structure (BIDS) datasets.

Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data.

Query official Fire and Emergency New Zealand operational reports and annual incident datasets by place, type and period.

Perform comprehensive Exploratory Data Analysis on any tabular dataset (CSV, Parquet, Excel, or database table).

Build, validate, and package reusable evaluation datasets for agent and LLM systems from prompts, traces, tool-call logs, metadata, and expected outcomes.

Use when creating structured data tables, designing dynamic input forms, or generating tabular datasets.

Loads Therapeutics Data Commons (TDC, PyTDC) AI-ready drug-discovery datasets and benchmarks — ADME, toxicity, drug-target interaction (DTI), scaffold splits…

Benchmark MLIP accuracy against a labeled dataset — compute MAE/RMSE for energy/atom and forces, and generate parity plots.