--- 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: 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 splits: - name: test num_bytes: 5220255729 num_examples: 296 download_size: 1811094462 dataset_size: 5220255729 - 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).