Update dataset card for public release

README.md

@@ -58,7 +58,7 @@ configs:
 
 ## Dataset Summary
 
-This private research dataset contains 2,330,553 unique patent applications and 175 columns related to artificial-intelligence patents. It integrates a legacy AI patent master with newly collected PATSTAT Online records. Duplicate resolution uses `app_id`, and the legacy record takes precedence when an application appears in both sources.
+This research dataset contains 2,330,553 unique patent applications and 175 columns related to artificial-intelligence patents. It integrates a legacy AI patent master with newly collected PATSTAT Online records. Duplicate resolution uses `app_id`, and the legacy record takes precedence when an application appears in both sources.
 
 The data are partitioned by `priority_year` to support selective loading. The `2020_2026` category includes priority years 2020 through 2026. Records outside the documented range, if any, are retained in explicit boundary or unknown-year categories.
 
@@ -90,7 +90,7 @@ all_data = load_dataset("deep1003/PATSTAT-AI-Complete-Master-1950-2026", "all_pe
 recent = load_dataset("deep1003/PATSTAT-AI-Complete-Master-1950-2026", "2020_2026")
 ```
 
-Authentication is required while the repository remains private.
+The repository is publicly accessible. Users remain responsible for complying with the terms and restrictions described below.
 
 ## Core Variables
 
@@ -117,11 +117,11 @@ The dataset is intended for patent landscaping, bibliometric research, technolog
 
 ## Privacy and Responsible Use
 
-Patent records may contain names and address-related fields. Do not use this dataset to profile, contact, rank, or make consequential decisions about individuals. Apply data-minimization and applicable privacy rules. The dataset should remain private until redistribution rights, personal-data handling, and institutional release requirements have been reviewed.
+Patent records may contain names and address-related fields. Do not use this dataset to profile, contact, rank, or make consequential decisions about individuals. Apply data-minimization and applicable privacy rules. Users should independently review redistribution rights, personal-data handling, and institutional requirements before copying or republishing the dataset.
 
 ## License and Access
 
-No open-data license is asserted for the underlying PATSTAT-derived records. Access to and reuse of PATSTAT content remain subject to the applicable EPO/PATSTAT terms and the uploader's institutional permissions. This repository is created as private by default. Repository access does not transfer ownership or waive third-party rights.
+No open-data license is asserted for the underlying PATSTAT-derived records. Access to and reuse of PATSTAT content remain subject to the applicable EPO/PATSTAT terms and the uploader's institutional permissions. Public repository access does not transfer ownership, grant additional reuse rights, or waive third-party rights.
 
 ## Reproducibility and Verification