README.md

---
dataset_info:
- config_name: go-v1-hard-negatives-100k
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  - name: negs
    list: string
  splits:
  - name: train
    num_bytes: 364025569
    num_examples: 99663
  download_size: 163830524
  dataset_size: 364025569
- config_name: go-v1-pair-2M
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  splits:
  - name: train
    num_bytes: 1066841599
    num_examples: 1992985
  download_size: 438588731
  dataset_size: 1066841599
- config_name: java-v1-hard-negatives-100k
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  - name: negs
    list: string
  splits:
  - name: train
    num_bytes: 359305298
    num_examples: 87504
  download_size: 130012787
  dataset_size: 359305298
- config_name: java-v1-pair-2M
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  splits:
  - name: train
    num_bytes: 1331514393
    num_examples: 1752593
  download_size: 480145623
  dataset_size: 1331514393
- config_name: javascript-v1-hard-negatives-100k
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  - name: negs
    list: string
  splits:
  - name: train
    num_bytes: 505829400
    num_examples: 98025
  download_size: 212768692
  dataset_size: 505829400
- config_name: javascript-v1-pair-2M
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  splits:
  - name: train
    num_bytes: 1625855840
    num_examples: 1960276
  download_size: 704045988
  dataset_size: 1625855840
- config_name: php-v1-hard-negatives-100k
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  - name: negs
    list: string
  splits:
  - name: train
    num_bytes: 409600818
    num_examples: 85460
  download_size: 163986468
  dataset_size: 409600818
- config_name: php-v1-pair-2M
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  splits:
  - name: train
    num_bytes: 1379318420
    num_examples: 1710537
  download_size: 522306657
  dataset_size: 1379318420
- config_name: python-v1-hard-negatives-100k
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  - name: negs
    list: string
  splits:
  - name: train
    num_bytes: 426330409
    num_examples: 99535
  download_size: 184706464
  dataset_size: 426330409
- config_name: python-v1-pair-2M
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  splits:
  - name: train
    num_bytes: 1460994357
    num_examples: 1990051
  download_size: 644195658
  dataset_size: 1460994357
- config_name: ruby-v1-hard-negatives-100k
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  - name: negs
    list: string
  splits:
  - name: train
    num_bytes: 180626329
    num_examples: 79040
  download_size: 83095960
  dataset_size: 180626329
- config_name: ruby-v1-pair-2M
  features:
  - name: query
    dtype: string
  - name: pos
    dtype: string
  splits:
  - name: train
    num_bytes: 713529581
    num_examples: 1583047
  download_size: 304652631
  dataset_size: 713529581
configs:
- config_name: go-v1-hard-negatives-100k
  data_files:
  - split: train
    path: go-v1-hard-negatives-100k/train-*
- config_name: go-v1-pair-2M
  data_files:
  - split: train
    path: go-v1-pair-2M/train-*
- config_name: java-v1-hard-negatives-100k
  data_files:
  - split: train
    path: java-v1-hard-negatives-100k/train-*
- config_name: java-v1-pair-2M
  data_files:
  - split: train
    path: java-v1-pair-2M/train-*
- config_name: javascript-v1-hard-negatives-100k
  data_files:
  - split: train
    path: javascript-v1-hard-negatives-100k/train-*
- config_name: javascript-v1-pair-2M
  data_files:
  - split: train
    path: javascript-v1-pair-2M/train-*
- config_name: php-v1-hard-negatives-100k
  data_files:
  - split: train
    path: php-v1-hard-negatives-100k/train-*
- config_name: php-v1-pair-2M
  data_files:
  - split: train
    path: php-v1-pair-2M/train-*
- config_name: python-v1-hard-negatives-100k
  data_files:
  - split: train
    path: python-v1-hard-negatives-100k/train-*
- config_name: python-v1-pair-2M
  data_files:
  - split: train
    path: python-v1-pair-2M/train-*
- config_name: ruby-v1-hard-negatives-100k
  data_files:
  - split: train
    path: ruby-v1-hard-negatives-100k/train-*
- config_name: ruby-v1-pair-2M
  data_files:
  - split: train
    path: ruby-v1-pair-2M/train-*
license: apache-2.0
---

# cornstack-samples

Filtered CoRNStack sample subsets for code retrieval training.

Source dataset and paper:
- CoRNStack collection: https://huggingface.co/collections/nomic-ai/cornstack
- CoRNStack paper: https://huggingface.co/papers/2412.01007

## What This Release Contains

This release keeps the original subset layout (6 languages x pair + hard-negatives) and applies a deterministic rule-based noise filter.

Important:
- Counts are post-filter counts, so they are slightly smaller than the nominal 2M / 100k targets.
- Data is published in normalized IR format.

## Config Layout And Schema

Each language is published as two configs with split `train`:
- `{lang}-v1-pair-2M`
- `{lang}-v1-hard-negatives-100k`

Schema:
- Pair configs: `query`, `pos`
- Hard-negative configs: `query`, `pos`, `negs` (list[string])

## Subsets And Row Counts (Post-filter)

| Subset (config name) | split | num_examples |
| --- | --- | ---: |
| `go-v1-pair-2M` | `train` | 1,992,985 |
| `go-v1-hard-negatives-100k` | `train` | 99,663 |
| `java-v1-pair-2M` | `train` | 1,752,593 |
| `java-v1-hard-negatives-100k` | `train` | 87,504 |
| `javascript-v1-pair-2M` | `train` | 1,960,276 |
| `javascript-v1-hard-negatives-100k` | `train` | 98,025 |
| `php-v1-pair-2M` | `train` | 1,710,537 |
| `php-v1-hard-negatives-100k` | `train` | 85,460 |
| `python-v1-pair-2M` | `train` | 1,990,051 |
| `python-v1-hard-negatives-100k` | `train` | 99,535 |
| `ruby-v1-pair-2M` | `train` | 1,583,047 |
| `ruby-v1-hard-negatives-100k` | `train` | 79,040 |

## Quick Usage

```python
from datasets import load_dataset

pair_ds = load_dataset("hotchpotch/cornstack-samples", "python-v1-pair-2M", split="train")
hard_ds = load_dataset("hotchpotch/cornstack-samples", "python-v1-hard-negatives-100k", split="train")

print(pair_ds.column_names, len(pair_ds))
print(hard_ds.column_names, len(hard_ds))
```

## License

This dataset follows CoRNStack and is released under **Apache-2.0**.

## Citation And Attribution

If you use this dataset, please cite and attribute CoRNStack:
- Paper: https://huggingface.co/papers/2412.01007
- Collection: https://huggingface.co/collections/nomic-ai/cornstack

## Noise Filtering Algorithm (Rule-based)

The following deterministic rules are applied before publishing this release.

1. Prefix-based noisy query removal
A row is dropped if `query` starts with any of the following prefixes:
- `TODO`
- `GET /`
- `POST /`
- `PUT /`
- `DELETE /`
- `Display a listing of the resource.`
- `Store a newly created resource in storage.`
- `Show the form for editing the specified resource.`
- `Update the specified resource in storage.`
- `Show the form for creating a new resource.`
- `Remove the specified resource from storage.`
- `Display the specified resource.`
- `Transform the resource into an array.`
- `Autogenerated method stub`
- `Auto generated`
- `this down() migration is autogenerated`
- `this up() migration is autogenerated`
- `"/ renamed from:"`
- `"/ access modifiers changed from:"`

2. Minimum positive-document length
A row is dropped if the positive side is shorter than 30 characters.
- Pair task: `document` length >= 30 required
- Hard-negatives task: `positive` length >= 30 required

3. Hard-negative validity constraint
For hard-negative configs, at least one valid negative must remain after normalization (`min_negs = 1`).

This filtering is purely rule-based (no model scoring), targeting high-noise templates and low-information positives while preserving broad retrieval coverage.