Apex Food Rd Chatml: 5,500 Synthetic Dialogues for Indian Functional Food R&D

A synthetic supervised fine-tuning dataset containing 5,500 ChatML examples for training a food formulation research and development assistant. The dataset is focused on Indian clean-label functional foods and was created by author harshal3099, with a last recorded update in May 2026.

Use Cases

• Fine-tune a conversational AI assistant for food formulation R&D based on the described ChatML structure.
• Train models to generate or evaluate clean-label ingredient suggestions for functional foods.
• Develop specialized chatbots for product development in the Indian food industry based on the dataset's thematic focus.
• Create educational or training tools for food science students using synthetic dialogue examples.

Strengths

• Contains 5,500 ChatML examples, providing a substantial number of training instances.
• Dataset is explicitly designed for a specific, practical application in food formulation R&D.
• Recommends a specific, verified base model (Qwen/Qwen3-4B) with a permissive Apache-2.0 license for downstream use.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown for the validation split, which may limit suitability assessment.
• Data is synthetic, which may not fully capture the complexity and nuance of real-world R&D dialogues.

Provenance

Source

harshal3099 on Hugging Face

Collection Method

Synthetic generation for supervised fine-tuning.

Time Range

Creation or update timeframe is not specified beyond the last platform update date.

Freshness

Last updated 2026-05-01 07:04:39; freshness should be verified.

Geography

The dataset's thematic focus is on Indian functional foods.