harshal3099/apex-food-rd-chatml-v2-expanded

Apex Food R&D ChatML v2 — Expanded Indian Functional Ingredient Dataset

This is the expanded v2 dataset for building a food formulation R&D assistant for Apex Nutrition.

Why v2 exists

The first MVP dataset used a narrow seed list of ~20 ingredients. That was too limited for Apex Nutrition's intended product space. This v2 dataset expands the ingredient universe to 137 India-relevant functional/natural/organic ingredients, including millets, pulses, seeds, spices, herbs, Indian fruits, leafy greens, microgreens, mushrooms, algae, fermented ingredients, fibres, sweeteners and probiotic strains.

Intended model

Recommended base model: Qwen/Qwen3-4B Model URL: https://huggingface.co/Qwen/Qwen3-4B

Qwen3-4B was selected because its config verifies Qwen3ForCausalLM, it is not a VLM/conditional-generation architecture, it has strong 4B-class quality, and it can later be LoRA fine-tuned on GPU and exported to GGUF.

Dataset size

• —Total examples: 12,000
• —Train: 10,800
• —Validation: 600
• —Test: 600
• —Format: ChatML messages

Columns

• —id
• —capability
• —capability_name
• —ingredient
• —ingredient_category
• —product
• —target_consumer
• —pack_format
• —company_context
• —source_type
• —source_refs
• —messages

Capabilities covered

1. 1.Ingredient Functionality
2. 2.Regulatory Permissibility
3. 3.Preservation System Design
4. 4.Clean-Label Substitution
5. 5.Process Engineering
6. 6.FSSAI & European Standards Health/Nutrition Claims
7. 7.ICMR-NIN Dietary Gap Analysis
8. 8.Organic Certification
9. 9.Fermentation Science
10. 10.Shelf-Life Prediction
11. 11.Texture & Sensory Design

Ingredient universe

The v2 ingredient library includes 137 ingredients across categories such as:

• —Indian millets: ragi, bajra, jowar, foxtail millet, kodo millet, barnyard millet, little millet
• —Pseudocereals: amaranth/rajgira, buckwheat/kuttu
• —Pulses/proteins: mung, chickpea, pea, lentil, sattu, horse gram, sprouted mung, soy, rice protein
• —Seeds/nuts: flax, chia, sabja, pumpkin seed, sunflower seed, sesame, almond, cashew, coconut
• —Indian fruits: amla, jamun, bael, kokum, mango, banana, guava, pomegranate, papaya, pineapple, jackfruit, date, fig
• —Greens/microgreens: moringa, spinach, curry leaf, coriander, mint, tulsi, wheatgrass, barley grass, broccoli sprout, radish microgreen
• —Spices/botanicals: turmeric, ginger, cinnamon, cardamom, black pepper/piperine, clove, fennel, cumin, fenugreek, ashwagandha, shatavari, brahmi, gotu kola, mulethi, saffron
• —Fibres/hydrocolloids: gum arabic, inulin/FOS, GOS, psyllium, resistant starch, pectin, guar, xanthan
• —Sweeteners: steviol glycosides, monk fruit, palmyra jaggery
• —Probiotics/ferments: LGG, L. plantarum, B. lactis, Bacillus coagulans, S. boulardii, kombucha, kanji, idli/dosa ferment powder
• —Mushrooms/algae/cacao: reishi, lion's mane, cordyceps, shiitake, oyster mushroom, spirulina, chlorella, cocoa, cacao nib, carob
• —Additional natural ingredients: makhana, singhara, tiger nut, coconut water powder, hibiscus, rose, butterfly pea flower, green tea, matcha, chicory root, hemp protein, watermelon seed protein, bitter gourd, aloe vera, noni, goji

Regulatory/source grounding

Examples cite and reason from named references including:

• —FSS Act, 2006
• —FSS Food Products Standards and Food Additives Regulations, 2011
• —FSS Labelling and Display Regulations, 2020
• —FSS Advertising and Claims Regulations, 2018
• —FSS Health Supplements, Nutraceuticals, FSDU, FSMP, Prebiotic and Probiotic Food Regulations, 2022
• —Codex GSFA CXS 192-1995
• —Codex CXS 1-1985, CXG 2-1985, CXG 23-1997
• —ICMR-NIN RDA/EAR 2020 and Dietary Guidelines
• —NPOP / APEDA organic standards
• —FAO/WHO probiotic evaluation guidance, 2002
• —EU Regulation 1333/2008, 1924/2006, 2015/2283 as stricter comparison references

Important limitation

This is a synthetic dataset from an expanded curated knowledge base. It is suitable for SFT response style, food formulation reasoning and regulatory citation behaviour. It is not a substitute for direct legal/regulatory verification against current FSSAI notifications and official PDFs before product launch.