metadata
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, 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,textqueries:_id,textqrels:query-id,corpus-id,scorebm25: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
bm25was 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@100per 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
- Paper: CodeSearchNet Challenge (1909.09436)
License
Other. This dataset is derived from CodeSearchNet and follows upstream repository licensing and attribution requirements.