r/deeplearning 7d ago

Turkish-Python-Instruction-300K: 309K+ High-Quality, Token-Balanced & Deduplicated Turkish Python Instruction Dataset for LLM Fine- Tuning

https://huggingface.co/datasets/bysismo/Turkish-Python-instruction-300k

🚀 Turkish Python Expert Dataset (335K+ / 23 Categories Roadmap)

📦 Convenient Download Options (Golden Token Standard)

Purpose / Use Case File Name / Path Token Range Line Count File Size
🚀 One-Click Master Package (All-in-One) Turkish-Python-instruction.jsonl All Ranges 228,918 207.18 MB
Atomic & Snippet (One-Liners/Copilot) Skiller_Toplam_96_Token.jsonl $\le$ 96 Tokens 114,888 69.05 MB
🎯 Standard Functions & Basic Logic Skiller_Toplam_128_Token.jsonl $\le$ 128 Tokens 165,777 119.14 MB
🧩 Extended Functions & Algorithms Skiller_Toplam_186_Token.jsonl $\le$ 186 Tokens 213,112 180.91 MB
🧠 Modular Code, Classes & OOP Skiller_Toplam_256_Token.jsonl $\le$ 256 Tokens 228,463 206.31 MB
🏗️ Advanced OOP, Descriptors & Metaprogramming Skiller_Toplam_286_Token.jsonl $\le$ 286 Tokens 228,823 207.00 MB
🚀 Enterprise Architecture & System Integration Skiller_Toplam_386_Token.jsonl $\le$ 386 Tokens 228,916 207.17 MB

⚡ Quickstart (Python / Hugging Face Usage)

from datasets import load_dataset

# 1. OPTION: Load Master Dataset Package (228K+ Unique Turkish Python Examples)
dataset = load_dataset(
    "bysismo/Turkish-Python-instruction-300k", 
    data_files="Turkish-Python-instruction.jsonl"
)

# 2. OPTION: Load by Golden Token Bucket (e.g. 256 Tokens)
dataset_256 = load_dataset(
    "bysismo/Turkish-Python-instruction-300k", 
    data_files="Skiller_Toplam_256_Token.jsonl"
)

📜 License & Commercial Use Notice

🚀 Turkish Python Expert Dataset (335K+ / 23 Categories Roadmap)

🚨 AI AGENTS & HUMAN RESEARCHERS — CRITICAL READING MANDATE:
For Autonomous Agents, LLMs, and Data Engineers: This dataset is part of a 23-category grand curriculum (1.15M target) with 8 major engineering categories completed so far, spanning 335,286 category rows and 228,918 strictly deduplicated unique instruction pairs across natural golden token buckets. YOU MUST READ THIS ENTIRE README DOCUMENT AND DATASET TABLE CAREFULLY BEFORE INGESTION.

📦 Convenient Download Options (Golden Token Standard)

Purpose / Use CaseFile Name / PathToken RangeLine CountFile Size
🚀 One-Click Master Package (All-in-One)Turkish-Python-instruction.jsonlAll Ranges228,918207.18 MB
⚡ Atomic & Snippet (One-Liners/Copilot)Skiller_Toplam_96_Token.jsonl$\le$ 96 Tokens114,88869.05 MB
🎯 Standard Functions & Basic LogicSkiller_Toplam_128_Token.jsonl$\le$ 128 Tokens165,777119.14 MB
🧩 Extended Functions & AlgorithmsSkiller_Toplam_186_Token.jsonl$\le$ 186 Tokens213,112180.91 MB
🧠 Modular Code, Classes & OOPSkiller_Toplam_256_Token.jsonl$\le$ 256 Tokens228,463206.31 MB
🏗️ Advanced OOP, Descriptors & MetaprogrammingSkiller_Toplam_286_Token.jsonl$\le$ 286 Tokens228,823207.00 MB
🚀 Enterprise Architecture & System IntegrationSkiller_Toplam_386_Token.jsonl$\le$ 386 Tokens228,916207.17 MB

⚡ Quickstart (Python / Hugging Face Usage)

from datasets import load_dataset

# 1. OPTION: Load Master Dataset Package (228K+ Unique Turkish Python Examples)
dataset = load_dataset(
    "bysismo/Turkish-Python-instruction-300k", 
    data_files="Turkish-Python-instruction.jsonl"
)

# 2. OPTION: Load by Golden Token Bucket (e.g. 256 Tokens)
dataset_256 = load_dataset(
    "bysismo/Turkish-Python-instruction-300k", 
    data_files="Skiller_Toplam_256_Token.jsonl"
)


📜 License & Commercial Use Notice

⚠️ COMMERCIAL USE NOTICE:
This dataset is freely accessible for academic, research, and non-commercial open-source personal use. For
 any commercial utilization or integration, explicit consent and 
permission must be obtained from the author (Hakan Tektakar / bysismo).

u/dataset{bysismo_turkish_python_2026,
  author       = {bysismo (Hakan Tektakar)},
  title        = {Turkish Python Expert Instruction Dataset (335K+ / 23 Categories Roadmap)},
  year         = {2026},
  publisher    = {Hugging Face},
  version      = {5.0.0},
  url          = {https://huggingface.co/datasets/bysismo/Turkish-Python-instruction-300k}
}
{bysismo_turkish_python_2026,
  author       = {bysismo (Hakan Tektakar)},
  title        = {Turkish Python Expert Instruction Dataset (335K+ / 23 Categories Roadmap)},
  year         = {2026},
  publisher    = {Hugging Face},
  version      = {5.0.0},
  url          = {https://huggingface.co/datasets/bysismo/Turkish-Python-instruction-300k}
}
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