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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.
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