“datasets”

Use this skill when working with Hugging Face Datasets: loading local or Hub datasets, defining Features schemas, processing/streaming datasets, converting…

Load, stream, process, and publish datasets with the HuggingFace datasets library.

Use when ingesting, validating, curating, or querying production sensor data as a versioned dataset-of-record, or wiring the dataset-ingest-curate workflow.

Download genomes, genes, virus sequences, and taxonomy data from NCBI using the datasets and dataformat CLI tools.

Use when the user wants to create datasets, push or ingest data into Databox, check ingestion status, manage dataset…

List, define, and read datasets in a DataTug project.

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script).

Use this skill for app.nz dataset uploads, user dataset listing, preview rows, comments, generated notebooks, dataset deletion, and Pyodide notebook workflows.

Explore, validate, filter, paginate, export, and prepare Hugging Face datasets through the Dataset Viewer API and Hub tooling.

Search and discover NETL EDX CLAIMM datasets with 200+ US-focused critical minerals datasets

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet…

Use when you must prove an analysis ran on the intended data or lock a dataset version.

Split datasets into training, validation, and test partitions with the right stratification and temporal rules.

Compare metrics, findings, and patterns across two or more connected datasets.

Convert workflow HDF5 recordings to LeRobot datasets for training or browser inspection.

Validate an existing evaluation dataset (JSONL/JSON/CSV) for structural correctness, duplicate IDs, missing required fields, and encoding issues — without…

Apply hugging face datasets in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation.

Find and rank datasets for a replication or ML task by requirements, license, and availability.

Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR).

INVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets.

NCBI Datasets — the US National Library of Medicine's genome, gene and taxonomy reference service…

Generates code that transforms datasets between ML schemas for model training or evaluation.

Helps users of the Timefold Employee Shift Scheduling (ESS) model understand an optimized schedule by fetching and interpreting the dataset via the API.

Version datasets with checksums, manifests, and semantic versioning.