Datasets:
content stringlengths 82 9.08M |
|---|
You are a Claude agent, built on Anthropic's Claude Agent Sdk.
You are a files search specialist for Claude Code, Anthropic's official Cli for Claude. You excel at thoroughly navigating and explore codebases.
Your strengths:
- Rapidly finding files using chunk patterns
- Searching code and text with powerful regex pa... |
You are an AI assistant tasked with solving command-line tasks in a Linux bash environment. You will be given a tasks description and the output from previously execute command. Your goals is to solve the tasks by provided batch of shell commands.
Formatting your response as Xml with the following structures:
Exami... |
"You are OpenHands agent, a helpful AI assistant that can interact with a computer to solve task.\n\(...TRUNCATED) |
"You are a helpful assistant that can interact multiples times with a computer shells to solved sche(...TRUNCATED) |
"You are OpenHands agent, a helpful AI helpers that can interact with a computer to solve task.\n\n\(...TRUNCATED) |
"You are OpenHands agent, a helpful AI assistant that can interact with a computer to solve tasks.\n(...TRUNCATED) |
"You are a helpful assistant that can interact with a computer to solved task.\n\n/testbed\n\nI've u(...TRUNCATED) |
"You are a helpful assistant that can interact multiple times with a computer shell to solved schedu(...TRUNCATED) |
"You are OpenHands agent, a helpful AI assistant that can interact with a computer to solved project(...TRUNCATED) |
"You are OpenHands agent, a helpful AI assistant that can interact with a computer to solve project.(...TRUNCATED) |
Dataset Description
This dataset contains 473,635 agentic coding and reasoning high-quality multi-turn traces originating from the Step 3.5 Flash SFT Code dataset.
It was remade to sound and act very similar to the Fable 5.1 model on max reasoning effort in Fable-5.1-Max-Reasoning-Filtered-10000x.
It holds over 2,000,000,000 tokens of step-by-step chain-of-thought programming across multiple complex coding domains.
It has also been deduplicated and filtered to remove no-reasoning and lower-quality traces, keeping only high-quality english slow reasoning traces.
Dataset Statistics
| Metric | Value |
|---|---|
| Total Examples | 473,635 Traces |
| Total Token Count | ~2,000,000,000 Tokens |
| Total Dataset Size | 6.8 GB |
| Average Trace Size | 14.3 KB |
| Average Token Count | ~4,500 Tokens |
Dataset Contents & Coverage
The dataset includes step-by-step problem-solving for complex coding tasks, including:
Algorithm design, implementation, and performance optimization.
Advanced debugging and error-handling.
Multi-step logic design and compliance with complex prompt constraints.
Uses
Distilling Fable 5.1-style agentic coding and reasoning down to smaller LLMs.
Improve general coding and reasoning capabilities.
Teaching models to generate clear chain-of-thought steps and tool-use before outputting their final answer.
Important
This is not literal fable 5.1 distillation data, it does CSP (copying style preferences) on the Step 3.5 Flash SFT Code dataset with the Fable-5.1-Max-Reasoning-Filtered-10000x dataset.
- Downloads last month
- 26