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---
dataset_info:
features:
- name: repo
dtype: string
- name: docfile_name
dtype: string
- name: doc_type
dtype: string
- name: intent
dtype: string
- name: license
dtype: string
- name: path_to_docfile
dtype: string
- name: relevant_code_files
sequence: string
- name: relevant_code_dir
dtype: string
- name: target_text
dtype: string
- name: relevant_code_context
dtype: string
splits:
- name: test
num_bytes: 227163668
num_examples: 216
download_size: 30375843
dataset_size: 227163668
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
# 🏟️ Long Code Arena (Module Summarization)
This is the data for Module Summarization benchmark as part of Long Code Arena provided by Jetbrains Research.
## How-to
1. List all the available configs via [`datasets.get_dataset_config_names`](https://huggingface.co/docs/datasets/v2.14.3/en/package_reference/loading_methods#datasets.get_dataset_config_names) and choose an appropriate one
3. Load the data via [`load_dataset`](https://huggingface.co/docs/datasets/v2.14.3/en/package_reference/loading_methods#datasets.load_dataset):
```
from datasets import load_dataset
dataset = load_dataset("JetBrains-Research/lca-module-to-text")
```
## Datapoint Structure
Each example has the following fields:
| **Field** | **Description** |
|:---------------------------:|:----------------------------------------:|
| `repo` | Name of the repository |
| `target_text` | Text of the target documentation file) |
| `docfile_name` | Name of the file with target documentation |
| `intent` | One sentence description of what expected in the documentation |
| `license` | License of the target repository |
| `relevant_code_files` | Pathes to relevant code files (files that are mentioned in target documentation) |
| `relevant_code_dir` | Pathes to relevant code directories (directory that are mentioned in target documentation) |
| `path_to_docfile` | Path to file with documentation (path to the documentation file in source repository) |
| `relevant_code_context` | Relevant code context collected from relevant code files and directories |
Note: you may collect and use your own relevant context. Our context may not be suitable. Folder with zipped repositories can be found in Files and versions
## Licences
We extracted repositories with permissive license (we used the most popular permissive licenses~\cite{vendome2017license} --- MIT, Apache-2.0, BSD-3-Clause, and BSD-2-Clause).
The data points could be removed upon request