---
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)
```