File size: 2,301 Bytes
d8f9577 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
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](https://xhguo7.github.io/SyncMind/)
## 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
- 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., `caller` or `callee`)
- **task_type:** task type (i.e., `fail-to-pass` or `pass-to-pass`)
- **repo_url:** URL link of the source GitHub repository
- **commit:** Git commit ID
- **fm_type:** Function type (i.e., `function` or `method`)
- **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
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("xuehang/SyncBench")
|