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@@ -177,9 +177,12 @@ configs:
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  This dataset contains information about repos (initially gathered from https://seart-ghs.si.usi.ch) matching the following criteria:
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  * `Java` and `Kotlin` programming languages
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  * 10+ stars
 
 
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  * not forks
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- * permissive licenses ('MIT License', 'Apache License 2.0', 'BSD 3-Clause "New" or "Revised" License', 'BSD 2-Clause "Simplified" License')
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- * filtered by `is_template=True` or template-related keywords presence in the description ("template", "boilerplate", "starter", "skeleton", "blueprint", "scaffold", "pattern", "seed", "example", "demo", "sample", "showcase", "illustration", "exemplar", "use case","prototype")
 
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  You can find all scripts to reproduce dataset collection in our [GitHub ](https://github.com/JetBrains-Research/agents-eval) repository
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@@ -188,12 +191,32 @@ You can find all scripts to reproduce dataset collection in our [GitHub ](https:
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  | **Field** | **Description** |
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  |:------------------:|:----------------------------------------:|
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  | `id` | Identifier of data point. |
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- | `repo_owner` | Bug issue repository owner. |
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- | `repo_name` | Bug issue repository name. |
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- | `html_url` | GitHub link to issue <br> `https://github.com/{repo_owner}/{repo_name}`. |
 
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  | `is_template` | True if the repositories marked as a template, otherwise False. |
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  | `description` | Repository description. |
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  | `template_keywords` | Template-related keywords. |
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  | `license` | Repository license <br> (one from 'MIT License', 'Apache License 2.0', <br> 'BSD 3-Clause "New" or "Revised" License', 'BSD 2-Clause "Simplified" License'). |
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  | `topics` | Repository topics. |
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  | `size` | Repo size \[MB\]. |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  This dataset contains information about repos (initially gathered from https://seart-ghs.si.usi.ch) matching the following criteria:
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  * `Java` and `Kotlin` programming languages
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  * 10+ stars
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+ * 10-3000 code lines
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+ * updated after 2023-01-01 00:00
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  * not forks
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+ * permissive licenses (`MIT License`, `Apache License 2.0`, `BSD 3-Clause "New" or "Revised" License`, `BSD 2-Clause "Simplified" License`)
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+ * filtered by `is_template=True` or template-related keywords presence in the description (`template`, `boilerplate`, `starter`, `skeleton`, `blueprint`, `scaffold`, `pattern`, `seed`, `example`, `demo`, `sample`, `showcase`, `illustration`, `exemplar`, `use case`, `prototype`)
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+ * android is moved to separate category (by `android` keyword in description or repo `fill_name`)
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  You can find all scripts to reproduce dataset collection in our [GitHub ](https://github.com/JetBrains-Research/agents-eval) repository
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  | **Field** | **Description** |
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  |:------------------:|:----------------------------------------:|
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  | `id` | Identifier of data point. |
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+ | `full_name` | Repository full name `{owner}/{name}`. |
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+ | `owner` | Bug issue repository owner. |
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+ | `name` | Bug issue repository name. |
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+ | `html_url` | GitHub link to issue <br> `https://github.com/{owner}/{name}`. |
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  | `is_template` | True if the repositories marked as a template, otherwise False. |
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  | `description` | Repository description. |
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  | `template_keywords` | Template-related keywords. |
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  | `license` | Repository license <br> (one from 'MIT License', 'Apache License 2.0', <br> 'BSD 3-Clause "New" or "Revised" License', 'BSD 2-Clause "Simplified" License'). |
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  | `topics` | Repository topics. |
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  | `size` | Repo size \[MB\]. |
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+ | `metrics` | Dict from languages to their meta info like lines count. |
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+ | `languages` | Repo languages. |
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+ | `language` | Repo main language. |
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+ | `created_at` | Date of the repo was created in format of yyyy-mm-dd hh:mm:ss. |
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+ | `updated_at` | Date of the last repo update in format of yyyy-mm-dd hh:mm:ss. |
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+ | `code_lines` | Number of lines of code in repo. |
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+
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+ from datasets import load_dataset
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+
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+ ## How to
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+ * Load the data via [load_dataset](https://huggingface.co/docs/datasets/v2.14.3/en/package_reference/loading_methods#datasets.load_dataset):
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+ ```python
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+ # Select a configuration from ["java", "kt", "android"]
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+ configuration = "java"
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+ # Select a split from ["dev", "train", "test"]
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+ split = "dev"
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+ # Load data
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+ dataset = load_dataset("JetBrains-Research/template-generation", configuration, split=split)
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+ ```