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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 |
|