| --- |
| size_categories: 10K<n<100K |
| tags: |
| - synthetic |
| - datadesigner |
| configs: |
| - config_name: data |
| data_files: data/*.parquet |
| default: true |
| --- |
| |
| <div style="display: flex; justify-content: space-between; align-items: flex-end; width: 100%; margin-bottom: 1rem;"> |
| <h1 style="flex: 1; margin: 0;">Github-Codereview-Dataset</h1> |
| <sub style="white-space: nowrap;">Made with ❤️ using 🦥 Unsloth Studio</sub> |
| </div> |
|
|
| --- |
|
|
| github-codereview-dataset was generated with Unsloth Recipe Studio. It contains 10,000 generated records. |
|
|
| --- |
|
|
| ## 🚀 Quick Start |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the main dataset |
| dataset = load_dataset("manishsaini1/github-codereview-dataset", "data", split="train") |
| df = dataset.to_pandas() |
| |
| ``` |
|
|
| --- |
|
|
| ## 📊 Dataset Summary |
|
|
| - **📈 Records**: 10,000 |
| - **📋 Columns**: 23 |
|
|
|
|
| --- |
|
|
| ## 📋 Schema & Statistics |
|
|
|
|
| | Column | Type | Column Type | Unique (%) | Null (%) | Details | |
| |--------|------|-------------|------------|----------|---------| |
| | `user` | `string` | expression | 9791 (97.9%) | 0 (0.0%) | - | |
| | `assistant` | `string` | expression | 7414 (74.1%) | 0 (0.0%) | - | |
| | `system` | `string` | expression | 1 (0.0%) | 0 (0.0%) | - | |
|
|
|
|
| --- |
|
|
| ## ⚙️ Generation Details |
|
|
|
|
| Generated with 23 column configuration(s): |
|
|
|
|
| - **expression**: 3 column(s) |
|
|
| - **seed-dataset**: 20 column(s) |
|
|
|
|
|
|
| 📄 Full configuration available in [`builder_config.json`](builder_config.json) and detailed metadata in [`metadata.json`](metadata.json). |
|
|
| --- |
|
|
| ## 📚 Citation |
|
|
| If you use Data Designer in your work, please cite the project as follows: |
|
|
| ```bibtex |
| @misc{nemo-data-designer, |
| author = {The NeMo Data Designer Team, NVIDIA}, |
| title = {NeMo Data Designer: A framework for generating synthetic data from scratch or based on your own seed data}, |
| howpublished = {\url{https://github.com/NVIDIA-NeMo/DataDesigner}}, |
| year = 2026, |
| note = {GitHub Repository}, |
| } |
| ``` |
|
|
| --- |
|
|
| ## 💡 About NeMo Data Designer |
|
|
| NeMo Data Designer is a general framework for generating high-quality synthetic data that goes beyond simple LLM prompting. It provides: |
|
|
| - **Diverse data generation** using statistical samplers, LLMs, or existing seed datasets |
| - **Relationship control** between fields with dependency-aware generation |
| - **Quality validation** with built-in Python, SQL, and custom local and remote validators |
| - **LLM-as-a-judge** scoring for quality assessment |
| - **Fast iteration** with preview mode before full-scale generation |
|
|
| For more information, visit: [https://github.com/NVIDIA-NeMo/DataDesigner](https://github.com/NVIDIA-NeMo/DataDesigner) (`pip install data-designer`) |
