---
pretty_name: Go Fix SFT
language:
- code
license:
- apache-2.0
- mit
- bsd-3-clause
- bsd-2-clause
- isc
task_categories:
- text-generation
tags:
- go
- source-code
- supervised-fine-tuning
configs:
- config_name: chatml
  data_files:
  - split: train
    path: chatml/train-*
  - split: validation
    path: chatml/validation-*
  - split: test
    path: chatml/test-*
- config_name: default
  data_files:
  - split: train
    path: examples/split=train/*.parquet
  - split: validation
    path: examples/split=validation/*.parquet
  - split: test
    path: examples/split=test/*.parquet
dataset_info:
  config_name: chatml
  features:
  - name: pair_id
    dtype: string
  - name: repository
    dtype: string
  - name: commit
    dtype: string
  - name: path
    dtype: string
  - name: license
    dtype: string
  - name: original_content_sha256
    dtype: string
  - name: fixed_content_sha256
    dtype: string
  - name: near_cluster_id
    dtype: string
  - name: messages
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  splits:
  - name: train
    num_bytes: 1401554066
    num_examples: 78357
  - name: validation
    num_bytes: 10824338
    num_examples: 591
  - name: test
    num_bytes: 10994187
    num_examples: 540
  download_size: 372210965
  dataset_size: 1423372591
---

# Go Fix SFT

Go Fix SFT is a supervised fine-tuning dataset of validated original-to-modernized Go source
pairs. Each output was produced with Go 1.26 `go fix`, is `gofmt` canonical, and passed a
post-transformation package check.

## Dataset size

| Split | Examples |
|---|---:|
| Train | 78,357 |
| Validation | 591 |
| Test | 540 |
| **Total** | **79,488** |

The examples come from 2,501 repositories. Splits are assigned by repository and checked for
near-clone leakage.

## Fields

The main training fields are:

- `system_prompt`: stable model behavior instruction
- `instruction`: requested modernization task
- `input_content`: complete original Go source file
- `output_content`: complete modernized Go source file

Rows also include repository, commit, path, license, module, toolchain, content hashes, validation
results, and clone-cluster provenance.

## Loading

```python
from datasets import load_dataset

dataset = load_dataset("sumpterc/go-fix-sft")
```

Apply the target model's chat template to `system_prompt`, `instruction` plus `input_content`, and
`output_content`. Perform model-specific token-length validation before training.

## Filtering policy

Only final split-eligible, non-generated, non-sensitive, `gofmt`-canonical transformations are
included. Examples whose combined input and output exceed 65,536 bytes are not truncated; their
metadata is retained in `excluded.parquet`.

## Licenses

Each row retains the detected license and exact source repository/commit provenance. Included
licenses are Apache-2.0, MIT, BSD-2-Clause, BSD-3-Clause, and ISC. The underlying source remains
governed by its respective license.

Exact-commit license bodies and discovered Apache NOTICE files for all 2,501 represented
repositories are included under `third_party/`. The human-readable consolidated text is
`third_party/THIRD_PARTY_LICENSES.txt`; Parquet indexes retain raw bytes, paths, hashes,
validation methods, and repository mappings.

## Limitations

This dataset teaches the mechanical transformations validated through `go fix`; it is not a
general-purpose Go instruction dataset. The examples are machine-generated and machine-validated,
so representative human review is recommended before a production model release.

See `manifest.json` for complete construction policy, source hashes, counts, and artifact hashes.