ScopeBench-PR v0.1 public release (parquet)

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+tags:
+- benchmark
+- peer-review
+- llm-evaluation
+- fairness
+pretty_name: ScopeBench-PR
+size_categories:
+- 10K<n<100K
+configs:
+- config_name: papers
+  data_files: papers/papers.parquet
+- config_name: review_runs
+  data_files: review_runs/review_runs.parquet
+- config_name: score_pairs
+  data_files: score_pairs/score_robustness_pairs.parquet
+- config_name: scope_items
+  data_files: scope_items/scope_detection_items.parquet
+- config_name: rebuttal_items
+  data_files: rebuttal_items/rebuttal_items.parquet
+- config_name: human_validation
+  data_files: human_validation/human_validation.parquet
+---
+
+# ScopeBench-PR
+
+Counterfactual benchmark for **scope fairness in LLM peer review**.
+
+- **Code:** https://github.com/RishiAhuja/ScopeBench-PR
+- **Workshop:** https://sites.google.com/view/globalsouthai-ijcai26/home
+
+```python
+from datasets import load_dataset
+
+load_dataset("rishia2220/scopebench-pr", "papers")
+load_dataset("rishia2220/scopebench-pr", "scope_items")
+```
+
+Tables are stored as **Parquet**. Use `scripts/download_data.py` in the GitHub repo to export CSV/JSONL locally.
+
+See the GitHub repository for task definitions, label schemas, and limitations.

dataset_manifest.jsonl

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+{"config": "papers", "path": "papers/papers.parquet", "format": "parquet", "local_name": "papers.csv", "local_format": "csv", "bytes": 47685, "sha256": "7722e968dc28127ddd587660f4a41b46aa2ff4d6d52d6d080b62cd12ba238b6f", "hf_sha256": "19bb2af215012fc7efa70bf631573d72d31d26b5854e4962fe6126be29b6e64e"}
+{"config": "review_runs", "path": "review_runs/review_runs.parquet", "format": "parquet", "local_name": "review_runs.csv", "local_format": "csv", "bytes": 9027290, "sha256": "ad0626654e80be98cce8316ea34017ccb70f3d79d50b1172225b03d21faef074", "hf_sha256": "07479780630d6b149b8acb35ef65a53928bba84db8588bee71fe061009be4619"}
+{"config": "score_pairs", "path": "score_pairs/score_robustness_pairs.parquet", "format": "parquet", "local_name": "score_robustness_pairs.csv", "local_format": "csv", "bytes": 107926, "sha256": "6cc9126e1fa1caffce82a1546645fa0263090575b9f09ac89192566dc3fa53c6", "hf_sha256": "48f690c97bdba60ac5b57bea3202029919f867e06c89810c8bc587c40e8c3082"}
+{"config": "scope_items", "path": "scope_items/scope_detection_items.parquet", "format": "parquet", "local_name": "scope_detection_items.jsonl", "local_format": "jsonl", "bytes": 3554314, "sha256": "b5f4ed7fb698b73d2b8a2d0ba7defd06e2f4aedba286b313568623658846b141", "hf_sha256": "164f9b13d45397d93d67379717d2c6a3f51f93d3561f4f5bef1c72b284bc7bd5"}
+{"config": "rebuttal_items", "path": "rebuttal_items/rebuttal_items.parquet", "format": "parquet", "local_name": "rebuttal_items.jsonl", "local_format": "jsonl", "bytes": 576057, "sha256": "2db9e1302d36bdfd711b9673338a4884f41bbee80a05666afa0bbc8fa9b7ca5e", "hf_sha256": "14df51a8deacf3018720db0de5a00657ea2a49291b04cf86ca432003b184647e"}
+{"config": "human_validation", "path": "human_validation/human_validation.parquet", "format": "parquet", "local_name": "human_validation.csv", "local_format": "csv", "bytes": 121298, "sha256": "e22bb2b928ba0144b3e38b124875a4cc4ea6f770bc1c65b7954d33c60aa7587e", "hf_sha256": "6eaa65d06047ffdf86cf66f8810b72a50b237451bc0ef8947a7d9f6cbf7c7adf"}

human_validation/human_validation.parquet

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+oid sha256:6eaa65d06047ffdf86cf66f8810b72a50b237451bc0ef8947a7d9f6cbf7c7adf
+size 121298

papers/papers.parquet

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+size 47685

rebuttal_items/rebuttal_items.parquet

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+size 576057

review_runs/review_runs.parquet

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+size 9027290

scope_items/scope_detection_items.parquet

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+size 3554314

score_pairs/score_robustness_pairs.parquet

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+oid sha256:48f690c97bdba60ac5b57bea3202029919f867e06c89810c8bc587c40e8c3082
+size 107926