Update README.md

README.md

@@ -32,27 +32,9 @@ pretty_name: Severity of Vulnerable Solidity Functions
 size_categories:
 - 1K<n<10K
 ---
+This dataset combines vulnerable functions (scraped from 5 auditting companies: [Codehawks](https://www.codehawks.com/), [ConsenSys](https://consensys.io/), [Cyfrin](https://www.cyfrin.io/), [Sherlock](https://www.sherlock.xyz/), [Trust Security](https://www.trust-security.xyz/)) and auddited functions with no vulnerabilities (scraped from [Etherscan](https://etherscan.io))
 
----
-license: mit
-configs:
-- config_name: vulnerable-w-explanations
-  data_files: db-vulnerable.csv
-  default: true
-- config_name: verified-functions
-  data_files: db-verified.csv
-language:
-- en
-tags:
-- finance
-pretty_name: Smart Contract Vulnerabilities with Explanations
-size_categories:
-- 1K<n<10K
----
-
-This dataset combines vulnerable functions scraped from several auditting companies (([Codehawks](https://www.codehawks.com/), [ConsenSys](https://consensys.io/), [Cyfrin](https://www.cyfrin.io/), [Sherlock](https://www.sherlock.xyz/), [Trust Security](https://www.trust-security.xyz/))) and auddited functions with no vulnerabilities (Scraped from [Etherscan](https://etherscan.io))
-
-It's purpose is to train a model to classify code into the 4 classes: `none`, `low`, `medium` and `high` severity.
+The purpose of the dataset is to enable training of classification models to discriminate between the 4 classes: `none`, `low`, `medium` and `high`.
 
 | Field | Description |
 |-|-|