Update README.md

README.md

@@ -33,28 +33,7 @@ dataset_info:
     dtype: string
   - name: original_string
     dtype: string
-  splits:
-  - name: python
-    num_examples: 7825291
-  - name: java
-    num_examples: 6667422
-  - name: javascript
-    num_examples: 1683568
-  - name: php
-    num_examples: 4696756
-  - name: c_sharp
-    num_examples: 3350316
-  - name: c
-    num_examples: 1685966
-  - name: cpp
-    num_examples: 1709448
-  - name: go
-    num_examples: 5153436
-  - name: rust
-    num_examples: 864987
-  - name: ruby
-    num_examples: 461585
-pretty_name: The Vault
+pretty_name: The Vault Function
 viewer: false
 ---
 
@@ -95,7 +74,7 @@ viewer: false
 
 
 ## Dataset Summary
-The Vault is a multilingual code-text dataset with over 40 million pairs covering 10 popular programming languages. It is the largest corpus containing parallel code-text data. By building upon [The Stack](https://huggingface.co/datasets/bigcode/the-stack), a massive raw code sample collection, the Vault offers a comprehensive and clean resource for advancing research in code understanding and generation. It provides a high-quality dataset that includes code-text pairs at multiple levels, such as class and inline-level, in addition to the function level. The Vault can serve many purposes at multiple levels.
+The Vault is a multilingual code-text dataset with over 34 million pairs ìn function-level covering 10 popular programming languages. It is the largest corpus containing parallel code-text data. By building upon [The Stack](https://huggingface.co/datasets/bigcode/the-stack), a massive raw code sample collection, the Vault offers a comprehensive and clean resource for advancing research in code understanding and generation. It provides a high-quality dataset that includes code-text pairs at multiple levels, such as class and inline-level, in addition to the function level. The Vault can serve many purposes at multiple levels.
 
 ## Supported Tasks
 The Vault can be used for pretraining LLMs or downstream code-text interaction tasks. A number of tasks related to code understanding and geneartion can be constructed using The Vault such as *code summarization*, *text-to-code generation* and *code search*.