Datasets:

behavior-in-the-wild
/

SDR-Bench

license: mit
task_categories:
  - text-retrieval
  - text-generation
language:
  - en
tags:
  - benchmark
  - personalization
  - b2b-sales
  - deep-research
  - agent-evaluation
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 deep 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.

Citation

@misc{sdrbench2026,
  author = {Srivastava, Ashutosh and Yedlapati, Siddharth and Aggarwal, Vinay and Dixit, Shashwat and Singla, Yaman Kumar},
  title = {SDR-Bench: Benchmarking the Personalization Capabilities of Large Language Models},
  year = {2026},
  publisher = {Behavior in the Wild},
  howpublished = {\url{https://behavior-in-the-wild.github.io/SDR-Bench.html}},
}