--- dataset_info: - config_name: android features: - name: id dtype: int64 - name: full_name dtype: string - name: owner dtype: string - name: name dtype: string - name: html_url dtype: string - name: is_template dtype: bool - name: description dtype: string - name: template_keywords dtype: string - name: license dtype: string - name: topics dtype: string - name: size dtype: int64 - name: language dtype: string - name: created_at dtype: string - name: updated_at dtype: string - name: gpt_description dtype: string - name: repo_symbols_count dtype: int64 - name: repo_tokens_count dtype: int64 - name: repo_words_count dtype: int64 - name: repo_lines_count dtype: int64 - name: repo_files_count dtype: int64 - name: repo_code_symbols_count dtype: int64 - name: repo_code_tokens_count dtype: int64 - name: repo_code_words_count dtype: int64 - name: repo_code_lines_count dtype: int64 - name: repo_code_files_count dtype: int64 - name: description_symbols_count dtype: int64 - name: description_tokens_count dtype: int64 - name: description_words_count dtype: int64 - name: description_lines_count dtype: int64 - name: readme dtype: string - name: readme_symbols_count dtype: int64 - name: readme_tokens_count dtype: int64 - name: readme_words_count dtype: int64 - name: readme_lines_count dtype: int64 splits: - name: dev num_bytes: 66588 num_examples: 17 - name: test num_bytes: 2293 num_examples: 1 - name: train num_bytes: 64295 num_examples: 16 download_size: 155161 dataset_size: 133176 - config_name: java features: - name: full_name dtype: string - name: owner dtype: string - name: name dtype: string - name: html_url dtype: string - name: is_template dtype: bool - name: description dtype: string - name: template_keywords dtype: string - name: license dtype: string - name: topics dtype: string - name: size dtype: int64 - name: language dtype: string - name: created_at dtype: string - name: updated_at dtype: string - name: gpt_description dtype: string - name: repo_symbols_count dtype: int64 - name: repo_tokens_count dtype: int64 - name: repo_words_count dtype: int64 - name: repo_lines_count dtype: int64 - name: repo_files_count dtype: int64 - name: repo_code_symbols_count dtype: int64 - name: repo_code_tokens_count dtype: int64 - name: repo_code_words_count dtype: int64 - name: repo_code_lines_count dtype: int64 - name: repo_code_files_count dtype: int64 - name: description_symbols_count dtype: int64 - name: description_tokens_count dtype: int64 - name: description_words_count dtype: int64 - name: description_lines_count dtype: int64 - name: readme dtype: string - name: readme_symbols_count dtype: int64 - name: readme_tokens_count dtype: int64 - name: readme_words_count dtype: int64 - name: readme_lines_count dtype: int64 splits: - name: dev num_bytes: 315460 num_examples: 81 - name: test num_bytes: 32324 num_examples: 10 - name: train num_bytes: 283136 num_examples: 71 download_size: 384707 dataset_size: 630920 - config_name: kt features: - name: full_name dtype: string - name: owner dtype: string - name: name dtype: string - name: html_url dtype: string - name: is_template dtype: bool - name: description dtype: string - name: template_keywords dtype: string - name: license dtype: string - name: topics dtype: string - name: size dtype: int64 - name: language dtype: string - name: created_at dtype: string - name: updated_at dtype: string - name: gpt_description dtype: string - name: repo_symbols_count dtype: int64 - name: repo_tokens_count dtype: int64 - name: repo_words_count dtype: int64 - name: repo_lines_count dtype: int64 - name: repo_files_count dtype: int64 - name: repo_code_symbols_count dtype: int64 - name: repo_code_tokens_count dtype: int64 - name: repo_code_words_count dtype: int64 - name: repo_code_lines_count dtype: int64 - name: repo_code_files_count dtype: int64 - name: description_symbols_count dtype: int64 - name: description_tokens_count dtype: int64 - name: description_words_count dtype: int64 - name: description_lines_count dtype: int64 - name: readme dtype: string - name: readme_symbols_count dtype: int64 - name: readme_tokens_count dtype: int64 - name: readme_words_count dtype: int64 - name: readme_lines_count dtype: int64 splits: - name: dev num_bytes: 75340 num_examples: 19 - name: test num_bytes: 42302 num_examples: 10 - name: train num_bytes: 33039 num_examples: 9 download_size: 170369 dataset_size: 150681 - config_name: py features: - name: full_name dtype: string - name: owner dtype: string - name: name dtype: string - name: html_url dtype: string - name: is_template dtype: bool - name: description dtype: string - name: template_keywords dtype: string - name: license dtype: string - name: topics dtype: string - name: size dtype: int64 - name: language dtype: string - name: created_at dtype: string - name: updated_at dtype: string - name: gpt_description dtype: string - name: repo_symbols_count dtype: int64 - name: repo_tokens_count dtype: int64 - name: repo_words_count dtype: int64 - name: repo_lines_count dtype: int64 - name: repo_files_count dtype: int64 - name: repo_code_symbols_count dtype: int64 - name: repo_code_tokens_count dtype: int64 - name: repo_code_words_count dtype: int64 - name: repo_code_lines_count dtype: int64 - name: repo_code_files_count dtype: int64 - name: description_symbols_count dtype: int64 - name: description_tokens_count dtype: int64 - name: description_words_count dtype: int64 - name: description_lines_count dtype: int64 - name: readme dtype: string - name: readme_symbols_count dtype: int64 - name: readme_tokens_count dtype: int64 - name: readme_words_count dtype: int64 - name: readme_lines_count dtype: int64 splits: - name: dev num_bytes: 2609044 num_examples: 565 - name: test num_bytes: 47326 num_examples: 10 - name: train num_bytes: 2561719 num_examples: 555 download_size: 2734991 dataset_size: 5218089 configs: - config_name: android data_files: - split: dev path: android/dev-* - split: test path: android/test-* - split: train path: android/train-* - config_name: java data_files: - split: dev path: java/dev-* - split: test path: java/test-* - split: train path: java/train-* - config_name: kt data_files: - split: dev path: kt/dev-* - split: test path: kt/test-* - split: train path: kt/train-* - config_name: py data_files: - split: dev path: py/dev-* - split: test path: py/test-* - split: train path: py/train-* --- # Template Generation Dataset for AI Agents Evaluation This is the benchmark for the Project Template Generation task, which requires creating a project template (content and structure) by short textual description. The dataset provides all the required components for evaluation of project template generation approaches in real project templates collected from GitHub, including: * Repository description; * Repository root README.md file content; * Repository link by which the \"golden\" template can be accessed; * GitHub repository telemetry, including additional data and metrics that can be useful in developing new approaches. All the repositories are published under permissive licenses (MIT, Apache-2.0, BSD-3-Clause, and BSD-2-Clause). The datapoints can be removed upon request. The collected dataset was carefully filtered, enhanced with useful metrics and, what's more, manually labeled, which assures the data quality and provides a golden subset of good examples for evaluation.\ Moreover, the dataset was split into several categories, namely: | **Category** | **Description** | **Number of data points** | |:------------------:|:----------------------------------------:|:----------------------------------------:| | `py` | Repositories with Python main language | 565 | | `java` | Repositories with Java main language | 81 | | `kt` | Repositories with Kotlin main language | 19 | | `android` | Repositories with Kotlin/Java main language based on Android sdk | 17 | ...and splits, namely: | **Split** | **Description** | |:------------------:|:----------------------------------------:| | `dev` | All collected datapoints | | `test` | Manually verified datapoints | | `train` | Rest of the datapoint from `dev` without `test` | The following sections describe the utilities around the dataset, as well as dataset content. ## Dataset Collection This dataset contains information about repos (initially gathered from https://seart-ghs.si.usi.ch) matching the following criteria: * `Python`, `Java`, `Kotlin` programming languages * 10+ stars * 10-1000 code lines * updated after 2023-01-01 00:00 * not forks * permissive licenses (`MIT License`, `Apache License 2.0`, `BSD 3-Clause "New" or "Revised" License`, `BSD 2-Clause "Simplified" License`) * 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`) * android is moved to separate category (by `android` keyword in description or repo `fill_name`) You can find all scripts to reproduce dataset collection in our [GitHub](https://github.com/JetBrains-Research/agents-eval) repository ## Dataset Description | **Field** | **Description** | |:------------------:|:----------------------------------------:| | `id` | Identifier of data point. | | `full_name` | Repository full name `{owner}/{name}`. | | `owner` | Bug issue repository owner. | | `name` | Bug issue repository name. | | `html_url` | GitHub link to issue
`https://github.com/{owner}/{name}`. | | `is_template` | True if the repositories marked as a template, otherwise False. | | `description` | Repository description. | | `template_keywords` | Template-related keywords. | | `license` | Repository license
(one from 'MIT License', 'Apache License 2.0',
'BSD 3-Clause "New" or "Revised" License', 'BSD 2-Clause "Simplified" License'). | | `topics` | Repository topics. | | `size` | Repo size \[MB\]. | | `metrics` | Dict from languages to their meta info like lines count. | | `languages` | Repo languages. | | `language` | Repo main language. | | `created_at` | Date of the repo was created in format of yyyy-mm-dd hh:mm:ss. | | `updated_at` | Date of the last repo update in format of yyyy-mm-dd hh:mm:ss. | | `code_lines` | Number of lines of code in repo. | | `repo_symbols_count` | Number of symbols in the repository. | | `repo_tokens_count` | Number of tokens in the repository. | | `repo_words_count` | Number of words in the repository. | | `repo_lines_count` | Number of lines in the repository. | | `repo_files_count` | Number of files in the repository. | | `repo_code_symbols_count` | Number of code symbols in the repository. | | `repo_code_tokens_count`* | Number of code tokens in the repository. | | `repo_code_words_count` | Number of code words in the repository. | | `repo_code_lines_count` | Number of code lines in the repository. | | `repo_code_files_count` | Number of code files in the repository. | | `description_symbols_count` | Number of symbols in the repository description. | | `description_tokens_count`* | Number of tokens in the repository description. | | `description_words_count` | Number of words in the repository description. | | `description_lines_count` | Number of lines in the repository description. | | `readme` | Root README.md repository content. | | `readme_symbols_count`| Number of symbols in the repository `readme`. | | `readme_header_tokens_count`* | Number of tokens in the repository `readme`. | | `readme_header_words_count` | Number of words in the repository `readme`. | | `readme_header_lines_count` | Number of lines in the repository `readme`. | \* Tokens calculated via GPT-4 tokenizer ## Dataset analysis * Topics analysis [notebook](https://github.com/JetBrains-Research/agents-eval/blob/main/src/template_generation/notebooks/topics_analysis.ipynb) * Large-scale analysis [notebook](https://github.com/JetBrains-Research/agents-eval/blob/main/src/template_generation/notebooks/templates_analysis.ipynb) ## Dataset usage * Load the data via [load_dataset](https://huggingface.co/docs/datasets/v2.14.3/en/package_reference/loading_methods#datasets.load_dataset): ```python from datasets import load_dataset # Select a configuration from ["java", "kt", "android"] configuration = "java" # Select a split from ["dev", "train", "test"] split = "dev" # Load data dataset = load_dataset("JetBrains-Research/template-generation", configuration, split=split) ```