| | --- |
| | license: openrail |
| | dataset_info: |
| | features: |
| | - name: hexsha |
| | dtype: string |
| | - name: size |
| | dtype: int64 |
| | - name: content |
| | dtype: string |
| | - name: avg_line_length |
| | dtype: float64 |
| | - name: max_line_length |
| | dtype: int64 |
| | - name: alphanum_fraction |
| | dtype: float64 |
| | splits: |
| | - name: train |
| | num_bytes: 3582248477.9086223 |
| | num_examples: 806789 |
| | - name: test |
| | num_bytes: 394048264.9973618 |
| | num_examples: 88747 |
| | - name: valid |
| | num_bytes: 3982797.09401595 |
| | num_examples: 897 |
| | download_size: 1323156008 |
| | dataset_size: 3980279540 |
| | task_categories: |
| | - text-generation |
| | language: |
| | - code |
| | tags: |
| | - code |
| | pretty_name: TheStack-Java |
| | size_categories: |
| | - 1M<n<10M |
| | --- |
| | |
| | ## Dataset 1: TheStack - Java - Cleaned |
| |
|
| | **Description**: This dataset is drawn from TheStack Corpus, an open-source code dataset with over 3TB of GitHub data covering 48 programming languages. We selected a small portion of this dataset to optimize smaller language models for Java, a popular statically typed language. |
| |
|
| | **Target Language**: Java |
| |
|
| | **Dataset Size**: |
| | - Training: 900,000 files |
| | - Validation: 50,000 files |
| | - Test: 50,000 files |
| |
|
| | **Preprocessing**: |
| | 1. Selected Java as the target language due to its popularity on GitHub. |
| | 2. Filtered out files with average line length > 100 characters, maximum line length > 1000 characters, and alphabet ratio < 25%. |
| | 3. Split files into 90% training, 5% validation, and 5% test sets. |
| |
|
| | **Tokenizer**: Byte Pair Encoding (BPE) tokenizer with tab and whitespace tokens. GPT-2 vocabulary extended with special tokens. |
| |
|
| | **Training Sequences**: Sequences constructed by joining training data text to reach a context length of 2048 tokens (1024 tokens for full fine-tuning). |
