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@@ -164,7 +164,7 @@ The natural language text (docstring) is in English.
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  ```
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  ### Data Fields
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- Data fields for function level:
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  - **hexsha** (string): the unique git hash of file
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  - **repo** (string): the owner/repo
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  - **path** (string): the full path to the original file
@@ -184,7 +184,7 @@ Data fields for function level:
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  ### Data Splits
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- In this repo, the inline level data is not split, and contain in only train set.
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  ## Dataset Statistics
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@@ -209,7 +209,7 @@ You can load The Vault dataset using datasets library: ```pip install datasets``
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  ```python
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  from datasets import load_dataset
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- # Load full function level dataset (40M samples)
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  dataset = load_dataset("Fsoft-AIC/the-vault-inline")
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  print(sample)
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  ```
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- A back up dataset can be downloaded in azure storage. See [Download The Vault from Azure blob storage](https://github.com/FSoft-AI4Code/TheVault#download-via-link).
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  ## Additional information
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  ### Licensing Information
 
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  ```
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  ### Data Fields
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+ Data fields for inline level:
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  - **hexsha** (string): the unique git hash of file
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  - **repo** (string): the owner/repo
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  - **path** (string): the full path to the original file
 
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  ### Data Splits
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+ In this repo, the inline level data is not split, and contained in only train set.
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  ## Dataset Statistics
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  ```python
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  from datasets import load_dataset
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+ # Load full function level dataset (69M samples)
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  dataset = load_dataset("Fsoft-AIC/the-vault-inline")
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  print(sample)
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  ```
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  ## Additional information
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  ### Licensing Information