--- dataset_info: - config_name: bm25 features: - name: query-id dtype: string - name: corpus-ids list: string splits: - name: go num_bytes: 578229 num_examples: 50 - name: java num_bytes: 865210 num_examples: 50 - name: javascript num_bytes: 631841 num_examples: 50 - name: php num_bytes: 683511 num_examples: 50 - name: python num_bytes: 673168 num_examples: 50 - name: ruby num_bytes: 635258 num_examples: 50 download_size: 669346 dataset_size: 4067217 - config_name: corpus features: - name: _id dtype: string - name: text dtype: string splits: - name: go num_bytes: 5866161 num_examples: 10000 - name: java num_bytes: 8383266 num_examples: 10000 - name: javascript num_bytes: 6817497 num_examples: 6483 - name: php num_bytes: 8308232 num_examples: 10000 - name: python num_bytes: 12057318 num_examples: 10000 - name: ruby num_bytes: 1456896 num_examples: 2279 download_size: 17919374 dataset_size: 42889370 - config_name: qrels features: - name: query-id dtype: string - name: corpus-id dtype: string splits: - name: go num_bytes: 11666 num_examples: 50 - name: java num_bytes: 17154 num_examples: 50 - name: javascript num_bytes: 12376 num_examples: 50 - name: php num_bytes: 13456 num_examples: 50 - name: python num_bytes: 13454 num_examples: 50 - name: ruby num_bytes: 12948 num_examples: 50 download_size: 61488 dataset_size: 81054 - config_name: queries features: - name: _id dtype: string - name: text dtype: string splits: - name: go num_bytes: 11803 num_examples: 50 - name: java num_bytes: 19923 num_examples: 50 - name: javascript num_bytes: 15444 num_examples: 50 - name: php num_bytes: 19306 num_examples: 50 - name: python num_bytes: 22227 num_examples: 50 - name: ruby num_bytes: 30739 num_examples: 50 download_size: 82419 dataset_size: 119442 configs: - config_name: bm25 data_files: - split: go path: bm25/go-* - split: java path: bm25/java-* - split: javascript path: bm25/javascript-* - split: php path: bm25/php-* - split: python path: bm25/python-* - split: ruby path: bm25/ruby-* - config_name: corpus data_files: - split: go path: corpus/go-* - split: java path: corpus/java-* - split: javascript path: corpus/javascript-* - split: php path: corpus/php-* - split: python path: corpus/python-* - split: ruby path: corpus/ruby-* - config_name: qrels data_files: - split: go path: qrels/go-* - split: java path: qrels/java-* - split: javascript path: qrels/javascript-* - split: php path: qrels/php-* - split: python path: qrels/python-* - split: ruby path: qrels/ruby-* - config_name: queries data_files: - split: go path: queries/go-* - split: java path: queries/java-* - split: javascript path: queries/javascript-* - split: php path: queries/php-* - split: python path: queries/python-* - split: ruby path: queries/ruby-* --- 🚧 This dataset is currently under construction. Specifications may change. # NanoCodeSearchNet (with bm25 subset) A lightweight, evaluation-ready subset of [CodeSearchNet](https://huggingface.co/datasets/code-search-net/code_search_net), designed for fast code-retrieval benchmarking. ## What this dataset is - A code-retrieval benchmark with 6 programming-language splits: `go`, `java`, `javascript`, `php`, `python`, `ruby`. - Each split contains 50 queries and up to 10,000 code snippets. - Queries are function docstrings and positives are corresponding function bodies. ## Data structure - `corpus`: `_id`, `text` - `queries`: `_id`, `text` - `qrels`: `query-id`, `corpus-id`, `score` - `bm25`: `query-id`, `corpus-ids` (A bm25 subset is included for first-stage retrieval and reranking experiments.) ## Performance Comparison Across Models | Model | avg | Go | Java | JavaScript | PHP | Python | Ruby | |---|---:|---:|---:|---:|---:|---:|---:| | bm25 | 0.4295 | 0.3644 | 0.3952 | 0.3308 | 0.2311 | 0.9552 | 0.3005 | | e5-small | 0.7268 | 0.6805 | 0.7884 | 0.6386 | 0.6603 | 0.9142 | 0.6788 | | e5-large | 0.7836 | 0.7595 | 0.8287 | 0.6942 | 0.7291 | 0.9513 | 0.7391 | | bge-m3 | 0.7107 | 0.6643 | 0.6934 | 0.6138 | 0.6229 | 0.9852 | 0.6844 | ## Subset names - Split names: `go`, `java`, `javascript`, `php`, `python`, `ruby` - Config names: `corpus`, `queries`, `qrels`, `bm25` ## BM25 tokenization strategy - `bm25` was generated with `--auto-select-best-splitter`. - Candidate strategies: `transformer`, `stemmer`, `wordseg`, `nltk_stem`, `nltk_stem_stop`, `english_regex`, `english_porter`, `english_porter_stop`, `whitespace`. - Selection metric: best `nDCG@100` per split. Selected strategy by split: | Split | Strategy | Details | |---|---|---| | `go` | `transformer` | tokenizer: `Qwen/Qwen3-0.6B` | | `java` | `transformer` | tokenizer: `Qwen/Qwen3-0.6B` | | `javascript` | `transformer` | tokenizer: `Qwen/Qwen3-0.6B` | | `php` | `transformer` | tokenizer: `Qwen/Qwen3-0.6B` | | `python` | `transformer` | tokenizer: `Qwen/Qwen3-0.6B` | | `ruby` | `transformer` | tokenizer: `Qwen/Qwen3-0.6B` | ## Upstream source - Original dataset: [code-search-net/code_search_net](https://huggingface.co/datasets/code-search-net/code_search_net) - Paper: [CodeSearchNet Challenge (1909.09436)](https://huggingface.co/papers/1909.09436) ## License Other. This dataset is derived from CodeSearchNet and follows upstream repository licensing and attribution requirements.