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categorized_triton_data_permissive

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metadata
license: mit
language:
  - en

Dataset Description

This dataset contains code snippets from Triton-based projects across GitHub, specifically filtered to include only repositories with permissive licenses (MIT, Apache, BSD, etc.). Each entry in the dataset includes:

  • Triton code snippet
  • Repository information
  • File path
  • Commit hash
  • Direct GitHub URL to the source code
  • License information
  • Categorization of the code functionality

Dataset Creation

The dataset was created by:

  1. Collecting Triton code snippets from public GitHub repositories
  2. Categorizing the code snippets based on functionality (Using claude)
  3. Filtering to keep only snippets from repositories with permissive licenses using a custom should_keep_license function

License Information

This dataset is released under the MIT License. However, each code snippet in the dataset comes from a repository with its own specific license (all permissive). The license type for each snippet is included in the dataset.

Permissive licenses included in this dataset:

  • MIT
  • BSD
  • APACHE
  • CC0

Format and Usage

The dataset is provided in two formats:

  • JSON format (permissive_triton_dataset.json)
  • Parquet format (permissive_triton_dataset.parquet)

Sample Data Structure 

{
  "uuid": "...",
  "file_name": "example_triton_file.py",
  "repo_name": "username/repo",
  "file_path": "path/to/file.py",
  "commit_hash": "abcdef123456",
  "starcount": 42,
  "input": "@triton.jit\ndef example_kernel(...):\n    ...",
  "category": {
    "Functionality": ["Category1", "Category2"]
  },
  "licenses": ["MIT"],
  "github_url": "https://github.com/username/repo/blob/abcdef123456/path/to/file.py"
}

Field Descriptions

Field Description
uuid Unique identifier for the entry in the dataset
file_name Name of the source code file
repo_name GitHub repository name in format "username/repo"
file_path Path to the file within the repository
commit_hash Git commit hash for the specific version of the file
starcount Number of stars the repository had at the time of data collection
input The actual Triton code snippet
category Categorization of the code functionality (labeled using Claude)
licenses List of permissive license types applicable to this code
github_url Direct URL to view the file on GitHub at the specific commit

Category Types

We consider categories in the following domains: Functionality, Data Type, Performance Objective, Parallelization Strategy, and Memory Access Pattern. We optinally add labels to each of these domains per entry to try and describe the data (using claude).

Loading the Dataset 

# Using JSON
import json
with open('permissive_triton_dataset.json', 'r') as f:
    dataset = json.load(f)

# Using Parquet
import pandas as pd
df = pd.read_parquet('permissive_triton_dataset.parquet')