{ "dataset": "NanoCodeRAG", "benchmark": "CodeRAG", "query_limit": 200, "doc_limit": 10000, "bm25_top_k": 100, "candidate_policy": "Rank the selected split corpus with BM25, keep up to top-100 candidates, and force qrels-positive documents into the final candidate list when missing.", "splits": [ { "split_name": "NanoCodeRAGLibraryDocumentationSolutions", "source_task": "CodeRAGLibraryDocumentationSolutions", "queries": 200, "corpus": 8683, "qrels": 200, "tokenization_plan": { "mode": "whitespace", "language": "python", "stemmer_algorithm": null, "tokenizer_name": null, "reason": "CodeRAG contains code-heavy text; use deterministic whitespace tokenization." }, "ndcg_at_10": 0.22787182501736197, "ndcg_at_100": 0.32897685481599515, "forced_queries": 85, "forced_doc_count": 85, "missing_positive_doc_count_after_forcing": 0 }, { "split_name": "NanoCodeRAGOnlineTutorials", "source_task": "CodeRAGOnlineTutorials", "queries": 200, "corpus": 9997, "qrels": 200, "tokenization_plan": { "mode": "whitespace", "language": "python", "stemmer_algorithm": null, "tokenizer_name": null, "reason": "CodeRAG contains code-heavy text; use deterministic whitespace tokenization." }, "ndcg_at_10": 0.7471740687426192, "ndcg_at_100": 0.7751689411050038, "forced_queries": 17, "forced_doc_count": 17, "missing_positive_doc_count_after_forcing": 0 }, { "split_name": "NanoCodeRAGProgrammingSolutions", "source_task": "CodeRAGProgrammingSolutions", "queries": 200, "corpus": 984, "qrels": 200, "tokenization_plan": { "mode": "whitespace", "language": "python", "stemmer_algorithm": null, "tokenizer_name": null, "reason": "CodeRAG contains code-heavy text; use deterministic whitespace tokenization." }, "ndcg_at_10": 0.013766639566113393, "ndcg_at_100": 0.1682429769064631, "forced_queries": 149, "forced_doc_count": 149, "missing_positive_doc_count_after_forcing": 0 }, { "split_name": "NanoCodeRAGStackoverflowPosts", "source_task": "CodeRAGStackoverflowPosts", "queries": 200, "corpus": 10000, "qrels": 200, "tokenization_plan": { "mode": "whitespace", "language": "python", "stemmer_algorithm": null, "tokenizer_name": null, "reason": "CodeRAG contains code-heavy text; use deterministic whitespace tokenization." }, "ndcg_at_10": 0.6901992073523491, "ndcg_at_100": 0.7306863125004465, "forced_queries": 10, "forced_doc_count": 10, "missing_positive_doc_count_after_forcing": 0 } ] }