Datasets:

Reviewerly
/

RottenReviews

Tasks:

Feature Extraction

Modalities:

Formats:

Languages:

Size:

Tags:

review_quality_assesment

llm_based_evaluation

Libraries:

License:

Dataset card Data Studio Files Files and versions

sadjadeb commited on 5 days ago

Commit

8e32c88

·

verified ·

1 Parent(s): e609249

Update README.md

Files changed (1) hide show

README.md +7 -10

README.md CHANGED Viewed

@@ -12,7 +12,7 @@ pretty_name: RottenReviews
 size_categories:
 - 10K<n<100K
 configs:
-- config_name: RottenReviews
   data_files:
   - split: ICLR2024
     path:
@@ -20,15 +20,12 @@ configs:
   - split: NIPS2023
     path:
     - raw/neurips2023_submissions.jsonl
-  - split: F1000Journal
-    path:
-    - raw/f1000research_submissions.jsonl
-  - split: SemanticWebJournal
-    path:
-    - raw/semantic-web-journal_submissions.jsonl
-  - split: human_annotation_data
-    path:
-    - human_annotation_data.jsonl
 ---
 # RottenReviews: Benchmarking Review Quality with Human and LLM-Based Judgments

 size_categories:
 - 10K<n<100K
 configs:
+- config_name: OpenReview
   data_files:
   - split: ICLR2024
     path:
   - split: NIPS2023
     path:
     - raw/neurips2023_submissions.jsonl
+- config_name: F1000
+  data_files: raw/f1000research_submissions.jsonl
+- config_name: SWJ
+  data_files: raw/semantic-web-journal_submissions.jsonl
+- config_name: HA
+  data_files: human_annotation_data.jsonl
 ---
 # RottenReviews: Benchmarking Review Quality with Human and LLM-Based Judgments