| --- |
| dataset_info: |
| features: |
| - name: repo_full_name |
| dtype: string |
| - name: repo_name |
| dtype: string |
| - name: repo_owner |
| dtype: string |
| - name: instruction |
| dtype: string |
| - name: reference |
| dtype: string |
| - name: clean_reference |
| dtype: string |
| - name: path_to_reference_file |
| dtype: string |
| - name: path_to_examples_folder |
| dtype: string |
| - name: n_unique_apis |
| dtype: int64 |
| - name: unique_apis |
| sequence: string |
| - name: project_defined_elements |
| sequence: string |
| - name: api_calls |
| sequence: string |
| - name: internal_apis |
| sequence: string |
| splits: |
| - name: test |
| num_bytes: 8652521 |
| num_examples: 150 |
| download_size: 4574177 |
| dataset_size: 8652521 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| --- |
| |
| # BenchName (Library-based code generation) |
|
|
| This is the benchmark for Library-based code generation task as part of the |
| [BenchName benchmark](https://huggingface.co/collections/icmlbenchname/icml-25-benchname-679b57e38a389f054cdf33e9). |
|
|
| The current version includes 150 manually curated instructions asking the model to generate Python code using a particular library. |
| The samples come from 62 Python repositories. |
| All the samples in the dataset are based on reference example programs written by authors of the respective libraries. |
| 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 |
| |
| dataset = load_dataset("icmlbenchname/library-based-code-generation", split="test") |
| ``` |
|
|
| Note that all the data we have is considered to be in the test split. |
|
|
| ## Dataset Structure |
|
|
| ### Samples structure |
|
|
| The samples in the dataset have the following structure: |
|
|
|
|
| | **Field** | **Description** | |
| |:---------------------------:|:--------------------------------------------------------------------------------------------:| |
| | `repo_full_name` | Concatenated repository name and owner | |
| | `repo_name` | Library repository name | |
| | `repo_owner` | Library repository owner | |
| | `instruction` | Task for code generation | |
| | `reference` | Reference program written by the library authors | |
| | `clean_reference` | Reference program with comments removed | |
| | `path_to_reference_file` | Path to the reference in the repository (removed in archive to prevent data leakages) | |
| | `path_to_examples_folder` | Path to the examples folder in the repository (removed in archive to prevent data leakages) | |
| | `n_unique_apis` | Number of calls to library-specific APIs in the reference program | |
| | `unique_apis` | List of of calls to library-specific APIs in the reference program | |
| | `project_defined_elements` | All class and method names in the repository | |
| | `api_calls` | All API calls (including referencing other libraries) in the reference program | |
| | `internal_apis` | All API calls (including appearing in other libraries) in the reference program | |
|
|