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--- |
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license: mit |
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task_categories: |
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- text-retrieval |
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- text-generation |
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language: |
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- en |
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tags: |
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- benchmark |
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- personalization |
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- b2b-sales |
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- deep-research |
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- agent-evaluation |
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pretty_name: "SDR-Bench: A Benchmark for Sales Development Representative Agents" |
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size_categories: |
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- 1K<n<10K |
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--- |
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# SDR-Bench: A Benchmark for Sales Development Representative Agents |
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This dataset contains **6,279** verified business success stories from various corporate domains. |
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It was curated for the SDR-Bench paper. |
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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. |
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## Files |
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- `data.jsonl`: **(Recommended)** Flattened version compatible with the Hugging Face Viewer. Contains 1 story per line. |
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- `raw_data.json`: Original nested structure (grouped by Domain). |
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## Data Fields (JSONL) |
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- `domain`: The company domain (e.g., `rothesay.com`). |
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- `industry`: Industry category. |
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- `story_url`: Verification URL of the success story. |
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- `customer_company`: The entity that achieved success. |
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- `seller_company`: The entity providing the product/service. |
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- `products`: List of products involved. |
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- `published_date`: Date verification found on the page. |
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## Citation |
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```bibtex |
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@misc{sdrbench2026, |
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author = {Srivastava, Ashutosh and Yedlapati, Siddharth and Aggarwal, Vinay and Dixit, Shashwat and Singla, Yaman Kumar}, |
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title = {SDR-Bench: Benchmarking the Personalization Capabilities of Large Language Models}, |
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year = {2026}, |
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publisher = {Behavior in the Wild}, |
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howpublished = {\url{https://behavior-in-the-wild.github.io/SDR-Bench.html}}, |
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} |
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``` |
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