This paper introduces INDoRI (Indian Dataset of Recipes and Ingredients) dataset comprising of rich collection of recipes and ingredients from 18 cuisine within the Indian subcontinent. Additionally we examined two recipe ingredient datasets comprising of ten worldwide cuisines and constructed its Ingredient Network (InN). Further, an empirical investigation was performed on these multi-cuisine InN’s, uncovering resemblances to social networks. The research reveals that the distribution of InN follows a power-law distribution, with an alpha exponent ranging from γ = 1.96 to γ = 2.38. This suggests that InN exhibits an ultra-small world characteristic, further supported by a network diameter of 4. These measurements indicate that the InN, similar to numerous social networks, exhibits scale-free characteristics indicative of social behaviour patterns.