Update README.md

README.md

@@ -24,27 +24,9 @@ dataset_info:
 ---
 # Dataset Card for "ArtifactAI/arxiv_python_research_code"
 
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [How to use it](#how-to-use-it)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
 ## Dataset Description
 
-- **Repository:** https://huggingface.co/datasets/ArtifactAI/arxiv_python_research_code
+https://huggingface.co/datasets/ArtifactAI/arxiv_python_research_code
 
 
 ### Dataset Summary
@@ -92,10 +74,7 @@ These repositories were then filtered, and the code from each '.py' file extensi
 The source (code) language producers are users of GitHub that created unique repository
 
 ### Personal and Sensitive Information
-The released dataset may contain sensitive information such as emails, IP addresses, and API/ssh keys that have previously been published to public repositories on GitHub. Deduplication has helped to reduce the amount of sensitive data that may exist. In the event that the dataset contains personal information, researchers should only use public, non-personal information in support of conducting and publishing their [open-access](https://en.wikipedia.org/wiki/Open_access) research. Personal information should not be used for spamming purposes, including sending unsolicited emails or selling of personal information. Complaints, removal requests, and "do not contact" requests can be sent to contact@bigcode-project.org.
-
-The PII pipeline for this dataset is still a work in progress (see this [issue](https://github.com/bigcode-project/admin/issues/9) for updates). Researchers that wish to contribute to the anonymization pipeline of the project can apply to join [here](https://www.bigcode-project.org/docs/about/join/). Developers with source code in the dataset can request to have it removed [here](https://www.bigcode-project.org/docs/about/ip/) (proof of code contribution is required).
-
+The released dataset may contain sensitive information such as emails, IP addresses, and API/ssh keys that have previously been published to public repositories on GitHub. 
 
 ## Additional Information