--- license: apache-2.0 dataset_info: - config_name: default features: - name: repo dtype: string - name: commit_hash dtype: string - name: completion_file struct: - name: filename dtype: string - name: content dtype: string - name: completion_lines struct: - name: infile sequence: int32 - name: inproject sequence: int32 - name: common sequence: int32 - name: commited sequence: int32 - name: non_informative sequence: int32 - name: random sequence: int32 - name: repo_snapshot sequence: - name: filename dtype: string - name: content dtype: string - name: completion_lines_raw struct: - name: commited sequence: int64 - name: common sequence: int64 - name: infile sequence: int64 - name: inproject sequence: int64 - name: non_informative sequence: int64 - name: other sequence: int64 - config_name: huge_context features: - name: repo dtype: string - name: commit_hash dtype: string - name: completion_file struct: - name: filename dtype: string - name: content dtype: string - name: completion_lines struct: - name: commited sequence: int64 - name: common sequence: int64 - name: infile sequence: int64 - name: inproject sequence: int64 - name: non_informative sequence: int64 - name: random sequence: int64 - name: repo_snapshot sequence: - name: filename dtype: string - name: content dtype: string - name: completion_lines_raw struct: - name: commited sequence: int64 - name: common sequence: int64 - name: infile sequence: int64 - name: inproject sequence: int64 - name: non_informative sequence: int64 - name: other sequence: int64 splits: - name: test num_bytes: 5220294969 num_examples: 296 download_size: 1811098490 dataset_size: 5220294969 - config_name: large_context features: - name: repo dtype: string - name: commit_hash dtype: string - name: completion_file struct: - name: filename dtype: string - name: content dtype: string - name: completion_lines struct: - name: commited sequence: int64 - name: common sequence: int64 - name: infile sequence: int64 - name: inproject sequence: int64 - name: non_informative sequence: int64 - name: random sequence: int64 - name: repo_snapshot sequence: - name: filename dtype: string - name: content dtype: string - name: completion_lines_raw struct: - name: commited sequence: int64 - name: common sequence: int64 - name: infile sequence: int64 - name: inproject sequence: int64 - name: non_informative sequence: int64 - name: other sequence: int64 splits: - name: test num_bytes: 2972051649 num_examples: 270 download_size: 1242122171 dataset_size: 2972051649 - config_name: medium_context features: - name: repo dtype: string - name: commit_hash dtype: string - name: completion_file struct: - name: filename dtype: string - name: content dtype: string - name: completion_lines struct: - name: commited sequence: int64 - name: common sequence: int64 - name: infile sequence: int64 - name: inproject sequence: int64 - name: non_informative sequence: int64 - name: random sequence: int64 - name: repo_snapshot sequence: - name: filename dtype: string - name: content dtype: string - name: completion_lines_raw struct: - name: commited sequence: int64 - name: common sequence: int64 - name: infile sequence: int64 - name: inproject sequence: int64 - name: non_informative sequence: int64 - name: other sequence: int64 splits: - name: test num_bytes: 514963163 num_examples: 224 download_size: 225825098 dataset_size: 514963163 - config_name: small_context features: - name: repo dtype: string - name: commit_hash dtype: string - name: completion_file struct: - name: filename dtype: string - name: content dtype: string - name: completion_lines struct: - name: commited sequence: int64 - name: common sequence: int64 - name: infile sequence: int64 - name: inproject sequence: int64 - name: non_informative sequence: int64 - name: random sequence: int64 - name: repo_snapshot sequence: - name: filename dtype: string - name: content dtype: string - name: completion_lines_raw struct: - name: commited sequence: int64 - name: common sequence: int64 - name: infile sequence: int64 - name: inproject sequence: int64 - name: non_informative sequence: int64 - name: other sequence: int64 splits: - name: test num_bytes: 111028780 num_examples: 144 download_size: 37604020 dataset_size: 111028780 configs: - config_name: huge_context data_files: - split: test path: data/huge_context/test-* - config_name: large_context data_files: - split: test path: data/large_context/test-* - config_name: medium_context data_files: - split: test path: data/medium_context/test-* - config_name: small_context data_files: - split: test path: data/small_context/test-* --- # 🏟️ Long Code Arena (Project-level code completion) This is the benchmark for Project-level code completion task as part of the [🏟️ Long Code Arena benchmark](https://huggingface.co/spaces/JetBrains-Research/long-code-arena). Each datapoint contains the file for completion, a list of lines to complete with their categories (see the categorization below), and a repository snapshot that can be used to build the context. 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. ## How-to 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 config_names = [ 'small_context', 'medium_context', 'large_context', 'huge_context' ] ds = load_dataset('JetBrains-Research/lca-project-level-code-completion', config_name, split='test') ``` ## Dataset Structure Datapoints in the dataset have the following structure: * `repo` – repository name in the format `{GitHub_user_name}__{repository_name}` * `commit_hash` – commit hash of the repository * `completion_file` – dictionary with the completion file content in the following format: * `filename` – path to the completion file * `content` – content of the completion file * `completion_lines` – dictionary where the keys are categories of lines and values are a list of integers (numbers of lines to complete). The categories are: * `committed` – line contains at least one function or class from the files that were added on the completion file commit * `inproject` – line contains at least one function or class from the repository snapshot at the moment of completion * `infile` – line contains at least one function or class from the completion file * `common` – line contains at least one function or class with common names, e.g., `main`, `get`, etc. * `non_informative` – line that was classified to be non-informative, e.g., too short, contains comments, etc. * `random` – other lines. * `repo_snapshot` – dictionary with a snapshot of the repository before the commit. It has the same structure as `completion_file`, but filenames and contents are orginized as lists. * `completion_lines_raw` – same as `completion_lines`, but before sampling ## How we collected the data To collect the data, we cloned repositories from GitHub where the main language is Python. The completion file for each datapoint is a `.py` file that was added to the repository in a commit. The state of the repository before this commit is the repo snapshot. The dataset configurations are based on the number of characters in `.py` files from the repository snapshot: - `small_context` – less than 48K characters; - `medium_context` – from 48K to 192K characters; - `large_context` – from 192K to 768K characters; - `huge_context` – more than 768K characters. ## Datasets Stats | Dataset | Number of datapoints | Number of repositories | Number of commits | |:-----------------:|:--------------------:|:----------------------:|:-----------------:| | `small_context` | 144 | 46 | 63 | | `medium_context` | 224 | 80 | 175 | | `large_context` | 270 | 75 | 219 | | `huge_context` | 296 | 75 | 252 | ### Completion File | Dataset | Completion file lines, min | Completion file lines, max | Completion file lines, median | |:------------------:|:--------------------------:|:--------------------------:|:------------------------------:| | `small_context` | 201 | 1916 | 310.5 | | `medium_context` | 200 | 1648 | 310.0 | | `large_context` | 200 | 1694 | 278.0 | | `huge_context` | 200 | 1877 | 313.5 | ### Repository Snapshot `.py` files | Dataset | Context py files number, min | Context py files number, max | Context py files number, median | Context py lines, median | |:------------------:|:----------------------------:|:----------------------------:|:--------------------------------:|:-------------------------:| | `small_context` | 0 | 52 | 4.0 | 128.0 | | `medium_context` | 3 | 117 | 34.0 | 3786.0 | | `large_context` | 3 | 255 | 84.0 | 15466.5 | | `huge_context` | 47 | 5227 | 261.0 | 49811.0 | ### Repository Snapshot non `.py` files | Dataset | Context non-py files number, min | Context non-py files number, max | Context non-py files number, median | Context non-py lines, median | |:------------------:|:---------------------------------:|:---------------------------------:|:-----------------------------------:|:-----------------------------:| | `small_context` | 1 | 1044 | 19.5 | 1227.0 | | `medium_context` | 3 | 3977 | 64.5 | 9735.0 | | `large_context` | 8 | 2174 | 155.0 | 18759.0 | | `huge_context` | 24 | 7687 | 262.0 | 60163.0 | ### Line Counts: | Dataset | *infile* | *inproject* | *common* | *commited* | *non-informative* | *random* | **all** | |:------------------:|:--------:|:-----------:|:--------:|:----------:|:-----------------:|:--------:|:-----:| | `small_context` | 1430 | 95 | 500 | 1426 | 532 | 703 | **4686** | | `medium_context` | 2224 | 2236 | 779 | 1495 | 858 | 1084 | **8676** | | `large_context` | 2691 | 2595 | 693 | 1322 | 1019 | 1311 | **9631** | | `huge_context` | 2608 | 2901 | 692 | 1019 | 1164 | 1426 | **9810** | ## Scores You can find the results of running various models on this dataset in our [leaderboard](https://huggingface.co/spaces/JetBrains-Research/long-code-arena). ## Citing ``` @article{bogomolov2024long, title={Long Code Arena: a Set of Benchmarks for Long-Context Code Models}, author={Bogomolov, Egor and Eliseeva, Aleksandra and Galimzyanov, Timur and Glukhov, Evgeniy and Shapkin, Anton and Tigina, Maria and Golubev, Yaroslav and Kovrigin, Alexander and van Deursen, Arie and Izadi, Maliheh and Bryksin, Timofey}, journal={arXiv preprint arXiv:2406.11612}, year={2024} } ``` You can find the paper [here](https://arxiv.org/abs/2406.11612).