README.md

metadata

pretty_name: ShareGPT Workload Cases
language:
  - en
license: other
task_categories:
  - text-generation
tags:
  - synthetic
  - conversations
  - scheduling
  - benchmarking
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path:
          - manifest.json
          - cases/**/*

ShareGPT Workload Cases

This dataset packages workload-generation artifacts derived from Aeala/ShareGPT_Vicuna_unfiltered. It includes the manifest describing how cases were generated and per-category case files intended for scheduler and systems benchmarking.

Contents

• manifest.json: dataset generation metadata and category definitions.
• cases/: 176 generated case files across 22 workload categories.

Generation Metadata

• Split: train
• Cases per category: 8
• Tokenizer: gpt-4 via tiktoken
• Generation seed: 7

Category Preview

• steady_short: Steady Poisson arrivals dominated by short prompts. (32 requests per case)
• steady_mixed: Steady mixed load with balanced request lengths. (64 requests per case)
• bursty_chat: Bursty conversational traffic with mostly short and medium prompts. (96 requests per case)
• bursty_long: Burst-heavy load with a larger share of long prompts. (72 requests per case)
• flash_crowd: Large clustered traffic spikes for stress testing scheduler fairness and queueing. (192 requests per case)
• uniform_workload: Uniform request sizes and steady arrivals for baseline throughput and scheduler overhead. (64 requests per case)
• low_load: Low-arrival workload with little contention to approximate ideal latency. (32 requests per case)
• short_long_mix: Majority short requests with a minority of long requests to expose head-of-line blocking. (80 requests per case)
• ...and 14 more categories.

Notes

• Each category folder also contains a category.json file with category-level metadata.
• Source records are intentionally excluded from this Hub upload.
• The uploaded layout mirrors the local directory structure for reproducibility.