Add dataset card for AutoDataBench

README.md

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+---
+license: apache-2.0
+task_categories:
+- text-generation
+tags:
+- benchmark
+- agentic
+- self-improvement
+---
+
+# AutoDataBench
+
+AutoDataBench is a benchmark to evaluate an agent’s ability to autonomously write new tasks that feed the self-improvement loop. Given an original benchmark task and a record of the target model attempting it, the agent must produce a new task for the same suite that meets practical acceptance criteria on validity, novelty, difficulty, and behavioural coverage.
+
+- **Paper**: [AutoDataBench: Can Agents Write the Data That Feeds the Self-Improvement Loop?](https://huggingface.co/papers/2609.35025)
+- **Project page**: [https://autodatabench.com/](https://autodatabench.com/)
+- **Code**: [https://github.com/StarDewXXX/AutoDataBench](https://github.com/StarDewXXX/AutoDataBench)
+
+The dataset contains rollouts and rubrics for three executable agent benchmarks: `automationbench`, `terminal-bench`, and `tb-science`. It is designed to measure whether individual produced tasks meet the standards of a production data pipeline.
+
+For usage and detailed scoring methodology, please refer to the [GitHub repository](https://github.com/StarDewXXX/AutoDataBench).