Datasets:

michaelowusuntim6
/

cpp-qwen35

language:
  - en
license: other
task_categories:
  - text-generation
tags:
  - cpp
  - c
  - code
  - qwen3.5
  - conversation
  - instruction-tuning
size_categories:
  - 10K

C / C++ Code Corpus

Description

Teaches domain-specific instruction following and code generation for this expert.

Source

shareAI/CodeChat
Mxode/StackOverflow-QA-C-Language-40k
dumb-dev/cpp-10k
AmareshHebbar/leetcode-codegen-cpp

Formatted for the MoE-orchestrator project (https://github.com/michaelowusuntim6/MoE-orchestrator). Expert target: code_cpp.

Format

Each record is a JSON object with a messages field formatted for Qwen3.5's native chat template:

{"messages": [
  {"role": "system", "content": "..."},
  {"role": "user", "content": "..."},
  {"role": "assistant", "content": "..."}
]}

The records are consumed via tokenizer.apply_chat_template(). Special tokens (<|im_start|>, <|im_end|>) are added by the template, never embedded in content.

Splits

train: 33,419 records
val: 712 records

Usage

from datasets import load_dataset
ds = load_dataset("michaelowusuntim6/cpp-qwen35", split="train")
print(ds[0]["messages"])

License

mixed. Upstream sources keep their own licences - see the source list above and docs/DATASET_SOURCES.md in the MoE-orchestrator repository for per-source detail.