---
license: apache-2.0
language:
  - en
tags:
  - rust
  - code
  - instruction-tuning
  - leptos
  - chatml
size_categories:
  - 1K<n<10K
task_categories:
  - text-generation
---

# Arcwright-Leptos

An instruction-tuning dataset for the **[Leptos](https://github.com/leptos-rs/leptos)** Rust crate, built for the [Arcwright](https://huggingface.co/y0sif/arcwright-E4B-v1) fine-tuned model.

Leptos is a reactive web UI framework for Rust with fine-grained reactivity, server-side rendering, and a component model inspired by modern frontend frameworks.

## Dataset Summary

- **2,034 instruction-response pairs** covering reactive signals, components, `view!` macro, server functions, ssr, hydration, routing, and resource management
- Generated from real source code using the **OSS-Instruct** methodology via Claude Code sub-agents
- Validated for structural correctness and deduplicated using MinHash (Jaccard threshold 0.7)
- Format: **ChatML** (messages array with system/user/assistant roles)

## Category Distribution

| Category | Count | % |
|----------|-------|---|
| Code Generation | 711 | 34% |
| Code Explanation | 364 | 17% |
| Api Usage | 320 | 15% |
| Bug Detection | 242 | 11% |
| Refactoring | 211 | 10% |
| Test Generation | 198 | 9% |

## Format

Each example is a JSON object with a `messages` array:

```json
{
  "messages": [
    {"role": "system", "content": "You are an expert Rust programmer specializing in the leptos crate and modern Rust development patterns."},
    {"role": "user", "content": "Write a Leptos component that displays a counter with increment and decrement buttons using reactive signals."},
    {"role": "assistant", "content": "..."}
  ],
  "category": "code_generation",
  "crate": "leptos"
}
```

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("y0sif/Arcwright-Leptos")
print(dataset["train"][0]["messages"])
```

## Part of Arcwright

This dataset is one of three crate-specific datasets used to train [Arcwright-E4B-v1](https://huggingface.co/y0sif/arcwright-E4B-v1):

| Dataset | Crate | Pairs |
|---------|-------|-------|
| **[Arcwright-Leptos](https://huggingface.co/datasets/y0sif/Arcwright-Leptos)** | Leptos | 2,046 |
| **[Arcwright-Axum](https://huggingface.co/datasets/y0sif/Arcwright-Axum)** | Axum | 741 |
| **[Arcwright-Rig](https://huggingface.co/datasets/y0sif/Arcwright-Rig)** | Rig | 697 |

## Source

All instruction pairs were generated from source code in the [Leptos repository](https://github.com/leptos-rs/leptos). Code was chunked using tree-sitter into meaningful units (functions, impl blocks, modules), then used as seed material for instruction generation.

## License

Apache 2.0