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NVIDIAKnown publisherNVIDIA/DALI_extra/CLAUDE.md

DALI_extra

CLAUDE.md45 starsChanged 7 months agoApache-2.0View on GitHub

DALI_extra is a data-only repository containing sample datasets used by NVIDIA DALI's test suite. It has no build system or runnable code. Large binary files (.mp4, .avi, .mkv, .tar, LMDB files, TFRecord files, etc.) are stored via Git LFS. Git LFS must be installed before cloning or the large files will be stubs. Set the DALI_EXTRA_PATH environment variable to point to this repository's root before running DALI tests: Before adding new files: - Verify no existing dataset can be used…

The file

We split this CLAUDE.md into the rules it gives an agent

4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before adding new files:

    line 27
  2. Distinctive:

    Verify no existing dataset can be used instead.

    line 28
  3. Distinctive:

    Ensure data contains no personal information (no identifiable faces, license plates), no prominent trademarks, and no inappropriate content.

    line 29
  4. Very specific:

    All datasets live under db/.

    line 34

≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

What this repository is

DALI_extra is a data-only repository containing sample datasets used by NVIDIA DALI's test suite. It has no build system or runnable code.

Large binary files (.mp4, .avi, .mkv, .tar, LMDB files, TFRecord files, etc.) are stored via Git LFS. Git LFS must be installed before cloning or the large files will be stubs.

# Requires Git LFS:
git lfs install
git clone https://github.com/NVIDIA/DALI_extra.git

Usage in DALI tests

Set the DALI_EXTRA_PATH environment variable to point to this repository's root before running DALI tests:

export DALI_EXTRA_PATH=/path/to/DALI_extra

Contributing data

Before adding new files:

  • Verify no existing dataset can be used instead.
  • Ensure data contains no personal information (no identifiable faces, license plates), no prominent trademarks, and no inappropriate content.
  • Print, sign, and send NVIDIA_CLA_v1.0.1.docx to Dali-Team@nvidia.com before the contribution is accepted.

Dataset structure

All datasets live under db/. Notable subdirectories: single/ (individual images), video/, audio/, lmdb/, tfrecord/, coco/, MNIST/, sequence/, imgcodec/, webdataset/.

Download now (ZIP)

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free