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load-dataset

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Prepare WebBench benchmark data from HuggingFace.

Data & Analytics#benchmark#csv#filters#jsonl#dataset#webbench
Authorlespaceman
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Download and prepare the Halluminate/WebBench dataset for benchmarking. This skill automates the process of downloading the CSV, converting it to JSONL, and applying optional filters so you can target specific categories, sample sizes, or website allowlists/blocklists. It uses curl and Node.js with zero Python dependencies, and notes that it does NOT execute tasks—you should use execute-task for actual task execution.

Core Features & Use Cases

  • CSV to JSONL conversion: Download the Halluminate/WebBench CSV and convert it into a JSONL task list suitable for benchmarking.
  • Targeted filtering: Apply category, sample size, and website allowlist/blocklist filters to tailor benchmarks.
  • Output artifact: Writes web-bench-tasks.jsonl to the working directory for immediate downstream use.
  • Zero-Python dependency: Requires only curl and Node.js, avoiding Python-based tooling.

Quick Start

Download the WebBench CSV and convert it to web-bench-tasks.jsonl in the working directory.

Dependency Matrix

Required Modules

None required

Components

Standard package

đź’» Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: load-dataset
Download link: https://github.com/lespaceman/athena-workflow-marketplace/archive/main.zip#load-dataset

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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