Graded query-passage relevance for training rerankers (cross-encoders) and
retrievers (bi-encoders, ColBERT). English, commercial-use sources only.
pairs-graded (844k train / 8.5k test): query, passage, llm_grade (0-3), teacher_score, source, mining_method, role. For cross-encoder / reranker training.
triplets (82k train / 819 test): query, positive, negative_1..5 with teacher scores.… See the full description on the dataset page:
https://huggingface.co/datasets/olaverse/reranker-general-en-llm-judged.
