“datasets”

Schema-level data quality monitoring, table comparison, dataset popularity analysis, and ad-hoc column quality assessment using Snowflake Data Metric…

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

Use when comparing two tables or datasets — before/after a pipeline change, source vs destination after a migration, dev vs prod models — to prove they match…

Load data ECC tools for datasets, cleaning, transforms, and structured data work.

Workflow for retrieving public omics datasets, sequences, annotations, and literature-linked biological resources.

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

Use when a task gives a covariate table plus, for each of many simulated observational datasets, a binary treatment vector and an outcome vector, and asks for…

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

Use when meeting an unfamiliar table or dataset — produce a structured profile (grain, per-column stats, coverage, red flags) before building on it, writing…

Load when the question is whether a produced dataset can be trusted — volumetry assertions, schema drift, freshness, null and uniqueness guarantees…

Analyse a dataset like a data scientist — profile it, find the signal, explain it.

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…

Use when defining a data contract between a producer and consumers, checking a dataset or schema change against an existing contract, or deciding whether a…

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

Use when the user wants to browse available integrations in Databox — see what data sources are supported, check if an integration supports datasets.

Curated trending across GitHub repos and the Hugging Face Hub (models, datasets, spaces) - filtered, clustered, and labeled by momentum with a one-line…

Load, explore, and visualize data; build reports and answer questions from datasets.

Convert dataset and benchmark papers into evaluation infrastructure skills.

Downloads education datasets from configured mirror sources (parquet/CSV) with local Polars filtering.

Analyze datasets, create visualizations, and extract insights

Molecular ML with diverse featurizers and pre-built datasets.

Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications.