datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IntentGuard-1
IntentGuard Training Dataset
This dataset is designed to train models for IntentGuard, a novel tool that verifies complex code properties using natural language assertions. It provides a valuable resource for training models to understand the nuanced relationship between natural language descriptions of code intent and actual code behavior. The dataset contains a curated collection of Python code snippets paired with natural language assertions describing desired properties of… See the full description on the dataset page: https://huggingface.co/datasets/kdunee/IntentGuard-1.IntentGuard-2-alpaca-format
IntentGuard 2 Alpaca Format
This dataset is IntentGuard-2 converted to Alpaca instruction format.
Every row uses instruction: "/intentguard".
Source Files
IntentGuard-2/train.jsonl
IntentGuard-2/test.jsonl
Output Files
train.json
test.json
Both output files are JSON arrays. Each item contains instruction, input, and output.
Rebuild
Run python3 scripts/convert_to_alpaca.py from this directory.
IntentGuard-1-alpaca-formatThis is the IntentGuard-1 dataset converted to alpaca instruction format.