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@@ -117,15 +117,11 @@ dataset = load_dataset("anon-iclr-submission/benchname-cmg", split="test")
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  Note that all the data we have is considered to be in the test split.
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  **Note.** Working with git repositories
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- under [`repos`](https://huggingface.co/datasets/anon-iclr-submission/benchname-cmg/tree/main/repos) directory is not supported
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  via 🤗 Datasets. See [Git Repositories](#git-repositories) section for more details.
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  ## About
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- ### Overview
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-
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- In total, there are 163 commits from 34 repositories. For length statistics, refer to the [notebook](https://github.com/anon-iclr-submission/benchname-baselines/blob/main/commit_message_generation/notebooks/cmg_data_stats.ipynb) in our repository.
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-
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  ### Dataset Structure
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  The dataset contains two kinds of data: data about each commit (under [`commitchronicle-py-long`](https://huggingface.co/datasets/anon-iclr-submission/benchname-commit-message-generation/tree/main/commitchronicle-py-long) folder) and compressed git repositories (under [`repos`](https://huggingface.co/datasets/anon-iclr-submission/benchname-commit-message-generation/tree/main/repos) folder).
@@ -169,9 +165,9 @@ Data point example:
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  #### Git Repositories
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- The compressed Git repositories for all the commits in this benchmark are stored under [`repos`](https://huggingface.co/datasets/anon-iclr-submission/benchname-cmg/tree/main/repos) directory.
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- Working with git repositories under [`repos`](https://huggingface.co/datasets/anon-iclr-submission/benchname-cmg/tree/main/repos) directory is not supported directly via 🤗 Datasets.
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  You can use [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/index) package to download the repositories. The sample code is provided below:
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  ```py
 
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  Note that all the data we have is considered to be in the test split.
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  **Note.** Working with git repositories
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+ under [`repos`](https://huggingface.co/datasets/anon-iclr-submission/benchname-commit-message-generation/tree/main/repos) directory is not supported
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  via 🤗 Datasets. See [Git Repositories](#git-repositories) section for more details.
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  ## About
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  ### Dataset Structure
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  The dataset contains two kinds of data: data about each commit (under [`commitchronicle-py-long`](https://huggingface.co/datasets/anon-iclr-submission/benchname-commit-message-generation/tree/main/commitchronicle-py-long) folder) and compressed git repositories (under [`repos`](https://huggingface.co/datasets/anon-iclr-submission/benchname-commit-message-generation/tree/main/repos) folder).
 
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  #### Git Repositories
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+ The compressed Git repositories for all the commits in this benchmark are stored under [`repos`](https://huggingface.co/datasets/anon-iclr-submission/benchname-commit-message-generation/tree/main/repos) directory.
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+ Working with git repositories under [`repos`](https://huggingface.co/datasets/anon-iclr-submission/benchname-commit-message-generation/tree/main/repos) directory is not supported directly via 🤗 Datasets.
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  You can use [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/index) package to download the repositories. The sample code is provided below:
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  ```py