Indian Patent Dataset

Dataset Overview

Name: Indian Patent Dataset

Description: This dataset contains detailed information on all patents submitted in India in 2010, 2011, and 2019.

Covered Years: 2010, 2011, 2019

Dataset Content

Data Composition:

• Application Number: Unique identifier of the patent application.
• Title: Title of the patent application.
• Application Date: Filing date of the patent application.
• Status: Current status of the patent application.
• Publication Number: Publication number of the patent application.
• Publication Date (U/S 11A): Publication date according to Section 11A.
• Publication Type: Type of publication.
• Application Filing Date: Submission date of the patent application.
• Priority Number: Priority number of the patent application.
• Priority Country: Priority country.
• Priority Date: Priority date of the patent application.
• Field Of Invention: Invention field of the patent application.
• Classification (IPC): International Patent Classification.
• Inventor Information: Inventor information.
• Applicant Information: Applicant information.
• Application Type: Type of patent application.
• E-mail (As Per Record): Email as recorded.
• Additional E-mail (As Per Record): Additional email as recorded.
• E-mail (Updated Online): Email updated online.
• Request for Examination Date: Date of examination request.
• First Examination Report Date: Date of the first examination report.
• Date Of Certificate Issue: Certificate issue date.
• Post Grant Journal Date: Post‑grant journal date.
• Reply to FER Date: Reply date to the first examination report.
• PCT International Application Number: PCT international application number.
• PCT International Filing Date: PCT international filing date.
• Application Status: Patent application status.

Data Collection Process

Collection Method: Data were harvested directly from the Indian Patent Advanced Search System using automated tools such as Selenium and Python.

Data Pre‑processing

Pre‑processing Steps: Include string cleaning and removal of unnecessary symbols to ensure data quality and consistency.

Dataset Uses

• Research & Analysis
• Policy Making
• Business Intelligence
• Legal & Regulatory Compliance
• Academic Research

Dataset Maintenance

Update Plan: The dataset will be periodically updated to correct labeling errors, add new instances, or remove obsolete instances.

Contact Information

Contact Person: Aryan Singh

Email: aryansinghmain09@gmail.com