Add task category and library name to dataset card (#3)

- Add task category and library name to dataset card (46fd55e24ac44bce1a8ad54ccf561e6bd7f411d7)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,4 +1,8 @@
 ---
+license: cc-by-4.0
+task_categories:
+- other
+library_name: datasets
 dataset_info:
   features:
   - name: instance_id
@@ -94,10 +98,8 @@ configs:
   data_files:
   - split: test
     path: data/test-*
-license: cc-by-4.0
 ---
 
-
 # Dataset Summary
 
 SWE-rebench is a large-scale dataset designed to support training and evaluation of LLM-based software engineering (SWE) agents, building upon and expanding our earlier release, [SWE-bench-extra](https://huggingface.co/datasets/nebius/SWE-bench-extra). It is constructed using a fully automated pipeline that continuously extracts real-world interactive SWE tasks from GitHub repositories at scale, as detailed in our paper [SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents](https://arxiv.org/abs/2505.20411). The dataset currently comprises over 21,000 issue–pull request pairs from 3,400+ Python repositories, each validated for correctness through automated environment setup and test execution. A curated subset of these tasks also forms the basis of our continuously updated [SWE-rebench leaderboard](https://swe-rebench.com/leaderboard).
@@ -162,5 +164,4 @@ The dataset is licensed under the Creative Commons Attribution 4.0 license. Howe
       archivePrefix={arXiv},
       primaryClass={cs.SE},
       url={https://arxiv.org/abs/2505.20411}
-}
-```
+}