NanoCodeSearchNet / README.md
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Update README with latest bm25 metrics and tokenization strategies
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---
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
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num_examples: 50
- name: php
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num_examples: 50
- name: python
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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
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num_examples: 50
- name: ruby
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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.