Data Splits The dataset consists of the following two subsets: Dataset Name Contents How It Was Generated Number of Samples DeepResearch 9K All samples (teacher model's outputs) Teacher model inference on 9K questions 9,000 DeepResearch Hard Teacher model's incorrect samples only Filtered from DeepResearch 9K (samples where the teacher model's final answer was wrong) 3,974 Based on the above, we define the following train/test split for our DeepResearch R1 model: Split Composition Source Number of Samples Train All teacher correct samples + Random 2,200 teacher incorrect samples From DeepResearch 9K (correct samples) + Random subset of DeepResearch Hard 5,026 + 2,200 = 7,226 Test The remaining teacher incorrect samples (not used in training) From DeepResearch Hard (the other 1,774 samples) 1,774 Note : Correct samples are those in DeepResearch 9K but not in DeepResearch Hard . The test set consists only of hard/incorrect cases (where the teacher model failed). This is by design to evaluate the model's ability to correct mistakes .
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy