README.md

---
license: other
---

This version of the dataset is strictly permitted for use exclusively in conjunction with the review process for the paper with Submission Number 13449. Upon completion of the review process, a de-anonymized version of the dataset will be released under a license similar to that of The Stack, which can be found at https://huggingface.co/datasets/bigcode/the-stack. 


## Dataset Format
The dataset contains 4 different subdataset or configurations in HuggingFace Datasets terminology. Those are `bm25_contexts` `PP_contexts` `randomNN_contexts` and `sources`.

First 3 are data used to train and test Repo fusion and the last one is actual java sourcode files the date was taken from.

The format of the data for firt 3 dataset is as follows:
```
features = datasets.Features({
    'id': datasets.Value('string'),
    'hole_file': datasets.Value('string'),
    'hole_line': datasets.Value('int32'),
    'hole_pos': datasets.Value('int32'),
    'question': datasets.Value('string'),
    'target': datasets.Value('string'),
    'answers': datasets.Sequence(
        datasets.Value('string')
    ),
    'ctxs': [{
        'title': datasets.Value('string'),
        'text': datasets.Value('string'),
        'score': datasets.Value('float64')
    }]
})
```

The format of the `sources` is either as follows if accessed through Datasets.load_dataset:
```
features = datasets.Features({
    'file': datasets.Value('string'),
    'content': datasets.Value('string')
})
```
Or, it can be accessed via file system directly. The format is like this `[<data_set_root>/data/<split_name>/<github_user>/<repo_name>/<path/to/every/java/file/in/the/repo>.java]`

Therea are 3 splits for each configuration `train`, `test`, `validation`

## Dataset usage
First, please, clone the dataset locally
```
git clone https://huggingface.co/datasets/RepoFusion/Stack-Repo <local/path/to/manual/data>
```

Second, please, load the dataset desired configuration and split:
```
ds = datasets.load_dataset(
    "RepoFusion/Stack-Repo",
    name="<configuration_name>",
    split="<split_name>"
    data_dir="<local/path/to/manual/data>"
)
```

NOTE: `bm25_contexts` `PP_contexts` `randomNN_contexts` configrations can be loaded directly from the hub without cloning the repo locally. For the `sources` if not clonned beforehand or `data_dir` not specified, `ManualDownloadError` will be raised.