Context A rapid march towards several smart health programs that are available online in the Hindi language, namely- https://www.onlymyhealth.com/hindi.html; https://pmsma.nhp.gov.in/; https://play.google.com/store/apps/details?id=com.knowledgeworld.HealthTipsHindi necessitates an emergence of the Hindi Health Data (HHD) corpus. Content HHD corpus is crawled using python 2.7.11 from Indian websites and four gazetteer lists- Person, Disease, Consumable and Symptom are detailed in our published research papers. (please refer Acknowledgements) Acknowledgements Special thanks goes to Dr. Anuja Arora, Associate Professor, CSE & IT, Jaypee Institute of Information Technology, Noida, India; Prof. Devendra K. Tayal, Dean (A& R), Indira Gandhi Delhi Technical University for Women, New Delhi, India. Citations- 1. Jain, A., and Arora, A. Named Entity Recognition in Hindi Using Hyperspace Analogue to Language and Conditional Random Field. Pertanika Journal of Science and Technology, UPM, vol. 26, no. 4, pp. 1801-1822, 2018. 2. Jain, A., Tayal, D.K., and Arora, A. OntoHindi NER- An Ontology Based Novel Approach For Hindi Named Entity Recognition. International Journal of Artificial Intelligence, vol. 16, no. 2, pp. 1-36, 2018. Inspiration HHD corpus can help researchers to upgrade their research in the Hindi language while utilizing the health related entities. Some of these entities are available in a ready made mode within the corpus such as Disease while others need to be explored such as Diagnosis. In addition to the Named Entity Recognition, the corpus can be useful to perform various other Natural Language Processing tasks such as Question Answering, Co-reference Resolution, Parsing and many more.