AMAImedia/NOESIS-50K-reasoning-router-code-math-psych-opus47-deepseek4-qwen36-gemini31-r1-gpt54

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NOESIS / AMAImedia

Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform (framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).

• —Founder: Ilia Bolotnikov
• —Organization: AMAImedia.com
• —X (Twitter): @AMAImediacom
• —LinkedIn: Ilia Bolotnikov
• —Telegram: @djbionicl
• —NOESIS version: v14.1
• —Release date: 2026-09-18

NOESIS DORA SFT Dataset

Multilingual supervised fine-tuning dataset built for the NOESIS QwQ+DeepSeek-R1 MoE pipeline.

Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform (framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).

• —Build date: 2026-04

Files

Format

All files are JSONL — one JSON object per line:

{"text": "User: <question>\nAssistant: <answer>"}

Records with <think>...</think> blocks contain reasoning traces from QwQ-32B / DeepSeek-R1 heritage.

Dataset composition (1M)

50k curated selection strategy

The NOESIS-50K-multilingual-...-gpt54.jsonl is sampled from the 1M with quality scoring:

Quality score (higher = selected first):

• —+3 if <think>...</think> present (reasoning trace)
• —+2 if assistant response > 2000 chars
• —+1 if assistant response > 500 chars
• —+1 if contains code (``` or def/function/class)
• —+1 if contains math (LaTeX symbols, ∑ ∫ ≤ ≥)

Language quotas (35,000 total across top-30 languages):

English high-quality pool: 15,000 records (reasoning/code/math priority)

Contributing AI models

Synthetic SFT records in this dataset were generated by or distilled from outputs of:

Intended use

This dataset is designed for:

• —DoRA SFT fine-tuning of Qwen3-based MoE models
• —Router fine-tuning (gate.weight training) for CMoE architectures
• —Multilingual instruction tuning with reasoning trace distillation

Primary target: NOESIS-QwQ-R1 pipeline (QwQ-32B + DeepSeek-R1-32B TIES merge → CMoE 16E).

License

Apache License 2.0.

Dataset composition includes records derived from:

• —Aya dataset — Apache 2.0, Cohere
• —Original NOESIS synthetic data — Apache 2.0, AMAImedia.com 2026

See LICENSE file for full terms.

HuggingFace repos

Note: HuggingFace enforces a 96-character repo ID limit. The full dataset name is encoded in the filename.

Citation

@misc{noesis_dora_dataset_2026,
  title  = {NOESIS DORA SFT Dataset — 1M multilingual instruction-tuning records},
  author = {Bolotnikov, Ilia},
  year   = {2026},
  publisher = {AMAImedia},
  url    = {https://amaimedia.com}
}