{"slug":"nvidia-cupynumeric-hdf5","source_name":"nvidia/cupynumeric-hdf5","name":"Nvidia/Cupynumeric Hdf5","description":"Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file, from_file_batched). Use when a developer needs to save a cuPyNumeric array to an .h5/.hdf5 file, load an HDF5 dataset into a distributed cuPyNumeric array, read a large HDF5 dataset in chunks, hand arrays to an HPC pipeline as a single file, or accelerate HDF5 disk I/O with GPUDirect Storage (GDS). Do not use it for Parquet/cuDF/raw-binary or other sharded/custom layo","version":1,"lift":{"pass_rate_delta_pts":40.91,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":98.2,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-12T07:32:37.594338+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":40.91,"with_pass_pct":100,"without_pass_pct":59.1,"tokens_delta_pct":98.2,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-12T07:32:37.594338+00:00","run_id":"f6052820-8939-47db-8078-ab844b1a6227","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"CC-BY-4.0 OR Apache-2.0","install_count":0,"manifest_hash":"518f7ee41c681101dd461e2b501b43992ada02488fecf0ba87e79677de070c1e","raw_url":"https://app.decimal.ai/s/nvidia-cupynumeric-hdf5/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/nvidia-cupynumeric-hdf5"}