“datasets”

Manage golden dataset regression tests for LLM prompts using Promptfoo.

Use when designing, configuring, running, or troubleshooting NeMo Agent Toolkit evaluations, datasets, evaluator selection, ATIF surfaces, quality gates…

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

Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion.

Interpretation guidance for Urban Institute Portal datasets.

Manages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation…

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.

Trending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick…

End-to-end LLM fine-tuning workflow -- dataset preparation, LoRA/QLoRA configuration, training, and evaluation.

Use Xquik REST and MCP APIs for X data workflows: search public posts, inspect users, export datasets, download media, monitor accounts or keywords, and send…

Manage, annotate, and trace biological data with LaminDB, an open-source FAIR data framework that makes datasets queryable, versioned, and reproducible.

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

Deep-profile the active dataset to understand schema structure, value distributions, temporal patterns, correlations, completeness gaps, and anomalies.

Processing, transforming, or moving datasets that may exceed RAM on a single low-compute box — covers memory discipline (streaming, generators, dtype…

High-quality synthetic dataset generation, distillation, deduplication, and quality filtering for fine-tuning and benchmark creation.

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

Download large datasets from NCBI efficiently using EPost, history server, batching, rate limiting, and retry logic.

Fine-tune Fairchem machine learning interatomic potentials (UMA, ESEN) on custom datasets.

Fine-tune MACE machine learning interatomic potentials on custom datasets.

Fine-tune MatGL machine learning interatomic potentials on custom datasets.