| --- |
| 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 |
| ```bibtex |
| @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}}, |
| } |
| ``` |
|
|
