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onkanat/rapberry_pi_pico_all-dataset

🤗 rapberry_pi_pico_all This dataset was automatically generated and verified using the Universal PDF & Rendergit Code Dataset Generator Pipeline (Phase 1-4). It contains high-quality synthetic code pairs, technical SFT Q&A, DPO (Direct Preference Optimization) preference pairs, and multi-turn technical chat sequences in both English and Turkish. 📊 Dataset Summary & Splits tr_dpo_dataset.jsonl: 756 örnek (samples) tr_sft_dataset.jsonl: 8,865 örnek (samples)… See the full description on the dataset page: https://huggingface.co/datasets/onkanat/rapberry_pi_pico_all-dataset.

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Dataset Card

🤗 rapberrypipico_all

This dataset was automatically generated and verified using the Universal PDF & Rendergit Code Dataset Generator Pipeline (Phase 1-4).

It contains high-quality synthetic code pairs, technical SFT Q&A, DPO (Direct Preference Optimization) preference pairs, and multi-turn technical chat sequences in both English and Turkish.

📊 Dataset Summary & Splits

  • —`tr_dpo_dataset.jsonl`: 756 örnek (samples)
  • —`tr_sft_dataset.jsonl`: 8,865 örnek (samples)
  • —`chat_dataset.jsonl`: 8,005 örnek (samples)
  • —`tr_chat_dataset.jsonl`: 8,022 örnek (samples)
  • —`sft_dataset.jsonl`: 8,005 örnek (samples)
  • —`dpo_dataset.jsonl`: 750 örnek (samples)

File Architecture (exports/rapberry_pi_pico_all/)

  • —sft_dataset.jsonl / .parquet: English technical SFT Q&A.
  • —dpo_dataset.jsonl / .parquet: English DPO chosen/rejected preference pairs.
  • —chat_dataset.jsonl / .parquet: English multi-turn conversational dialogs.
  • —tr_sft_dataset.jsonl / .parquet: Turkish SFT dataset (direct generation).
  • —tr_chat_dataset.jsonl / .parquet: Turkish multi-turn technical dialogs.
  • —tr_dpo_dataset.jsonl / .parquet: Turkish DPO preference pairs.

🚀 How to Load in Python

Using the Hugging Face datasets library:

python
from datasets import load_dataset

# Load Turkish Code SFT split
dataset = load_dataset("onkanat/rapberry_pi_pico_all-dataset", data_files="tr_code_sft_dataset.jsonl")
print(dataset['train'][0])

# Load DPO preference dataset
dpo_dataset = load_dataset("onkanat/rapberry_pi_pico_all-dataset", data_files="dpo_dataset.jsonl")
print(dpo_dataset['train'][0])

🛡️ Quality & Verification

  • —AST Code Analysis: Extracted directly from Python AST nodes.
  • —DPO Verification: Filtered via automated technical plausibility validator.
  • —Traceability: Embedded with metadata tags (quality_status, language, dataset_type).

Generated on 2026-08-11 18:37:22 UTC via Elektor Universal Pipeline (Phase 4).