Dataset Card for Apps-Retrieval-TR

Dataset Description

Apps-Retrieval-TR dataset is obtained by translating the queries of AppsRetrieval into Turkish using GPT4.1.

Dataset Structure

The original dataset only had train and test splits. We applied the following splitting methodology to obtain validation and test splits:

• If a train-val-test split is available, we use the existing divisions as provided.
• For datasets with a train-test split only, we create a val split from the training set, sized to match the test set, and apply this across all models.
• In cases with a train-val split, we reassign the val set as the test split, then generate a new val split from the training data following the approach above.
• In cases with a val-test split, we split validation into train and val sets in 80% and 20% proportions, respectively.
• When only a single combined split is present, we partition the data into train, val, and test sets in 70%, 15%, and 15% proportions, respectively.

Data Fields

• query(string) : Problem definition
• doc(string) : Solution of the problem in form of code.

Source Dataset

HuggingFace