CoolFace
Datasetpublic

YCWTG/luau-stack-hq-ChatML

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: { "messages": [ {"role": "assistant", "content": "<luau source code>"} ] } Processing The source file… See the full description on the dataset page: https://huggingface.co/datasets/YCWTG/luau-stack-hq-ChatML.

sourceHugging Faceotherupdated 6mo agoView on Hugging Face
0likes16downloads
Dataset Card

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. 1.Read each JSON line.
  2. 2.Extract the original code field as text.
  3. 3.Wrap text into messages as: {"messages": [{"role": "assistant", "content": text}]}.
  4. 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.