“datasets”

Análisis estadístico de datasets con Pandas y NumPy — explora, correlaciona, testea hipótesis y extrae conocimiento no obvio.

Python data exploration + cleaning pipeline — load → explore → clean → analysis-ready dataset, diagnostics, and figures.

Run read-only SQL against BigQuery public datasets with local result capture, cost safeguards, and reproducibility outputs.

Profile and explore a dataset to understand its shape, quality, and patterns.

Domain sub-router for warehouse reads and UAT: Teradata, Hive, Impala, Oracle queries, Jira-vs-warehouse reconciliation, dataset diffs.

Sync non-git data (datasets, outputs, caches, symlinked data) between git worktrees.

Find rare defect examples such as raised nails among a Pallet Vision camera's nail slices, let a person review the candidates on a local page with the…

Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API.

Create a data-table artifact - a sortable, filterable table for browsing a dataset (a CSV, a list of records, query results, a catalog) rather than seeing it…

Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API.

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…

Use when uploading images, labeling, organizing datasets, creating Roboflow projects (detection/segmentation/keypoint/classification), tags, splits, versions…

Fast in-memory DataFrame library for datasets that fit in RAM.

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

Profile and explore a dataset to understand its shape, quality, and patterns.

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…

Refresh HitKeep's checked-in bot/AI-agent, IP metadata, and spam-filter datasets through their canonical generators.

Configure Endly dsunit dataset mappings and relationships for fixture loading and assertions.

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…

Create Harbor benchmark adapters that convert external benchmark datasets into Harbor task format.

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

Analyses a dataset correctly and reports what it shows.

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