| 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. | |