---
language:
  - en
  - pt
tags:
  - code
  - instruction-tuning
  - portuguese
  - reasoning
  - cosmos-9b
  - education
size_categories:
  - 100K<n<1M
---

# COSMOS 9B Dataset

## Dataset Description
This dataset is a meticulously curated mixture of 100,000 high-quality instruction-response pairs designed specifically for fine-tuning the **COSMOS 9B** model. It aims to create an AI model that excels as an educator and coding assistant, with strong reasoning capabilities and fluency in Brazilian Portuguese (PT-BR).

The dataset includes injected Chain-of-Thought (<think>...</think>) reasoning steps in Portuguese for a subset of the coding and logic prompts, teaching the model to reason in PT-BR before providing the final answer.

## Dataset Composition
- **CodeFeedback-Filtered-Instruction (25k):** Advanced programming and logic queries.
- **Magicoder-Evol-Instruct (20k):** Complex, evolved coding trajectories.
- **evol-codealpaca-v1 (20k):** C/C++, Python, and algorithmic problem solving.
- **Magicoder-OSS-Instruct (10k):** Grounded, realistic open-source coding instructions.
- **Pt-Corpus-Instruct (15k):** Deep Brazilian Portuguese conversational fluency.
- **SlimOrca (10k):** Advanced general reasoning and instruction following (crucial for ENEM/Vestibular logic).

## Intended Use
This dataset is specifically intended for the Supervised Fine-Tuning (SFT) of the COSMOS 9B V1 base merge model.