metadata
license: mit
SyncBench
In tackling the challenge of agent out-of-sync, SyncBench is released as a part of our work SyncMind: Measuring Agent Out-of-Sync Recovery In Collaborative Software Engineering
Dataset Description
SyncBench for agent out-of-sync recovery:
- Task: Agent out-of-sync
- SyncBench
- In our current version, we construct SyncBench based on 21 popular GitHub repositories, while our dataset construction approach allows adaptive upsampling and downsampling for custom needs
- Expand to incorporate other repositories as data sources
- Downsampled to smaller ealuation subsets
- In our current version, we construct SyncBench based on 21 popular GitHub repositories, while our dataset construction approach allows adaptive upsampling and downsampling for custom needs
- Datasets: Caller and Callee
- Caller: Testing code out-of-sync
- Callee: Tested code out-of-sync
Data Structure
Format: JSON and CSV
Fields:
- instance_id: SyncBench instance ID
- instance_type: data type (i.e.,
callerorcallee) - task_type: task type (i.e.,
fail-to-passorpass-to-pass) - repo_url: URL link of the source GitHub repository
- commit: Git commit ID
- fm_type: Function type (i.e.,
functionormethod) - fm_name: Function name
- original_code: Out-of-sync function code
- gold_code: Up-to-date function code
- old_filtered_context: Out-of-sync context code (filtered)
- old_complete_context: Out-of-sync context code (complete)
- new_filtered_context: Up-to-date context code (filtered)
- new_complete_context: Up-to-date context code (complete)
- initial_error_log: Initial execution error log
- original_summary: Parsed execution output of the out-of-sync code
- gold_summary: Parsed execution output of the up-to-date code
- pyfile_name: Name of the Python file
- pyfile_path: Path to the Python file
- unittest_path: Path to the unit test
Dataset Versions
- SyncBench
- Data: syncbench_24k.csv
- Size: 24,332
- Evaluation Dataset
- Data: syncbench_300.csv
- Callee: syncbench_callee_150.csv
- Caller: syncbench_caller_150.csv
- Size: 300
- Data: syncbench_300.csv
- SyncBench
Usage
from datasets import load_dataset
dataset = load_dataset("xuehang/SyncBench")