Datasets:
ArXiv:
License:
updated formatting
Browse files
README.md
CHANGED
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@@ -55,11 +55,11 @@ The expected data format of the `.json` files is a list of target holes and corr
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- `question`: surrounding context
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- `target`: target hole
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- `ctxs`: a list of repo contexts where each item is a dictionary containing
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The actual java sources 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]`. When accessed through `Datasets.load_dataset`, the data fields for the `sources` can be specified as below.
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```
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features = datasets.Features({
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'file': datasets.Value('string'),
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'content': datasets.Value('string')
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@@ -67,7 +67,7 @@ features = datasets.Features({
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```
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When accessed through `Datasets.load_dataset`, the data fields for the repo contexts can be specified as below.
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```
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features = datasets.Features({
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'id': datasets.Value('string'),
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'hole_file': datasets.Value('string'),
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- `question`: surrounding context
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- `target`: target hole
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- `ctxs`: a list of repo contexts where each item is a dictionary containing
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- `title`: name of the repo context
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- `text`: content of the repo context
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The actual java sources 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]`. When accessed through `Datasets.load_dataset`, the data fields for the `sources` can be specified as below.
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```python
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features = datasets.Features({
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'file': datasets.Value('string'),
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'content': datasets.Value('string')
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```
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When accessed through `Datasets.load_dataset`, the data fields for the repo contexts can be specified as below.
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+
```python
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features = datasets.Features({
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'id': datasets.Value('string'),
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'hole_file': datasets.Value('string'),
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