| --- |
| language: |
| - code |
| license: other |
| task_categories: |
| - text-generation |
| pretty_name: Luau Stack HQ ChatML |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Dataset Card for YCWTG/luau-stack-hq-ChatML |
|
|
| ## Summary |
|
|
| This dataset is a pretraining-oriented repackaging of `khtsly/luau-stack-hq`. |
| It keeps only the source code content and stores it in a ChatML-style `messages` field. |
|
|
| - Rows: 21,704 |
| - File format: JSONL |
| - Split: `train` |
| - Main file: `train.jsonl` |
|
|
| ## Data Schema |
|
|
| Each row has one field: |
|
|
| ```json |
| { |
| "messages": [ |
| {"role": "assistant", "content": "<luau source code>"} |
| ] |
| } |
| ``` |
|
|
| ## Processing |
|
|
| The source file `/luau-stack.jsonl` was transformed with the following rule: |
|
|
| 1. Read each JSON line. |
| 2. Extract the original `code` field as `text`. |
| 3. Wrap `text` into `messages` as: |
| `{"messages": [{"role": "assistant", "content": text}]}`. |
| 4. Drop all other fields. |
|
|
| No filtering, deduplication, or normalization was applied beyond field selection/renaming/wrapping. |
|
|
| ## Intended Use |
|
|
| This dataset is intended for code language model pretraining or continued pretraining where a ChatML-style assistant message format is required. |
|
|
| ## Load with `datasets` |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("YCWTG/luau-stack-hq-ChatML", split="train") |
| print(ds[0]["messages"][0]["content"][:200]) |
| ``` |
|
|
| ## Source and Attribution |
|
|
| - Original source repository: `khtsly/luau-stack-hq` |
| - This dataset is a format-converted repackaging by `YCWTG`. |
|
|
| Please cite or acknowledge the original source repository when using this data. |
|
|
| ## License |
|
|
| This repackaging does not change the licensing terms of the upstream data. |
| Please review and comply with the original source license and any file-level license obligations. |
|
|