SDR-Bench / README.md
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metadata
license: mit
task_categories:
  - text-retrieval
  - text-generation
language:
  - en
tags:
  - benchmark
  - personalization
  - b2b-sales
  - agent-evaluation
  - deep-research
pretty_name: 'SDR-Bench: A Benchmark for Sales Development Representative Agents'
size_categories:
  - 1K<n<10K

SDR-Bench: A Benchmark for Sales Development Representative Agents

This dataset contains 6,279 verified business success stories from various corporate domains. It was curated for the SDR-Bench paper. This dataset serves as a benchmark for evaluating AI agents on their ability to conduct research and generate targeted sales pitch points. The data is derived from real-world Customer Success Stories, where the "Ground Truth" consists of the actual value propositions and pain points solved for a specific customer.

Files

  • data.jsonl: (Recommended) Flattened version compatible with the Hugging Face Viewer. Contains 1 story per line.
  • raw_data.json: Original nested structure (grouped by Domain).

Data Fields (JSONL)

  • domain: The company domain (e.g., rothesay.com).
  • industry: Industry category.
  • story_url: Verification URL of the success story.
  • customer_company: The entity that achieved success.
  • seller_company: The entity providing the product/service.
  • products: List of products involved.
  • published_date: Date verification found on the page.