AGENTS.md

For AI agents using this dataset

Instructions for coding assistants and automated pipelines that read, train on or describe this data.

Read first

• README.md: where everything is, file formats, a loading example.
• GUIDE.md: what the data is for and why it is built this way.

Reading the files

• Text shards: 3 bytes per token, little-endian, token id = b0 | b1 << 8 | b2 << 16. Documents start with token 2 (<bos>) and end with token 1 (<eos>). Tokenizer: Gemma, 262,144 tokens (EmbeddingGemma 2).
• Picture, video and audio shards: .npz with codes (uint8, 64 bytes = 512 bits per token) and an index array (img for pictures, clips for audio); the matching .jsonl holds the text.
• Tuning: sft/<set>/part_NNN.jsonl.zst, one JSON conversation per line.
• A large source may be split into part_NN/ folders; treat them as one source.
• The repository holds more than 50,000 files: list one folder at a time rather than the whole repository.

Keep evaluation clean

• Do not pretrain on the held-out tuning shards listed in sft/vision/vision_sft_manifest.json and sft/audio/audio_sft_manifest.json.
• Apply the skip lists in decontamination/ before training if you report HellaSwag, ESC-50, UrbanSound8K, VGGSound, or any of the nine text benchmarks scanned there.
• FineVision includes about 1.02% images that match vision benchmark test images (reported by its authors); say so when reporting vision benchmarks.

Licence

• Non-commercial research and education only, with attribution (LICENSE.md), and each source keeps its own terms.
• Sets in rebuild/ must be rebuilt from their original source under that source's terms; do not repost them.
• Credit: "Training data from SHADOW Assistant by QLNI, encoded with compute from CloudRift (https://cloudrift.ai)."

When describing this data

• Quote the numbers in the README; do not estimate new ones.
• Do not describe any part as raw images or audio: only codes and text are published.