---
license: apache-2.0
tags:
  - instruction-tuning
  - sft
  - generalist
  - math
  - code
  - reasoning
  - conversation
  - chat
  - tulu-3
  - openhermes
  - wildchat
  - dolphin
  - aether-family
size_categories:
  - 1M<n<10M
---

# aether-sft-v1-sources

Top-tier generalist SFT instruction-tuning sources for AETHER training. Aggregates the SOTA datasets: Tulu-3 SFT mixture (Allen AI), OpenHermes-2.5 (Teknium), NuminaMath-CoT/1.5 (AI-MO, math reasoning), WildChat-1M (real GPT-4 conversations), Dolphin + Dolphin-R1 (reasoning), Tulu-3 personas (math/instr). Multi-skill: instruction-following, math reasoning, coding, dialogue, multilingual.

## Disclaimer (Responsible Disclosure)

This bundle aggregates **publicly available** security research datasets for
**defensive purposes only**: training detection systems, threat-classification
models, and security research tools.

Do **not** use any artifact in this collection for offensive operations against
systems you do not own or have explicit authorization to test. See individual
source licenses in `SOURCES.md`.

## Contents

This is an aggregation of 11 HuggingFace datasets,
re-bundled here for reproducibility and convenience. Each source is preserved
in its original layout under `<owner>__<repo>/`.

See `SOURCES.md` for the full per-source attribution table including
original license, URL, and category.

## How to use

```python
from huggingface_hub import snapshot_download
path = snapshot_download(repo_id="jescy525/aether-sft-v1-sources", repo_type="dataset")
# path/AlicanKiraz0__Cybersecurity-Dataset-Fenrir-v2.1/
# path/Trendyol__Trendyol-Cybersecurity-Instruction-Tuning-Dataset/
# ...
```

## License

Multi-license (Apache-2.0 + ODC-BY + MIT). Tulu-3 + WildChat ODC-BY include non-commercial subsets -- see SOURCES.md per dataset.

This re-bundled collection is released under Apache-2.0 **for the metadata
and aggregation layer only** — each individual source retains its original
license.