Arabic Coding Claude SFT Combined: Multilingual Code Instruction Dataset

A unified mixture for Supervised Fine-Tuning (SFT) combining English coding reasoning chains with Arabic-specific coding instructions. The dataset is sourced from the Claude Opus 4.7 Reasoning Dataset, which has been cleaned to remove internal thought chains. It was created by author TYDTYDYT and last updated on 2026-05-30.

Use Cases

• Fine-tune large language models for Arabic code generation based on the described Arabic-specific coding instructions.
• Train models on structured reasoning chains for programming tasks using the cleaned English coding reasoning data.
• Develop multilingual coding assistants that can follow instructions in both English and Arabic.
• Benchmark model performance on code-related tasks requiring multi-step reasoning.

Strengths

• Dataset is described as clean and unified, suggesting curation effort.
• Combines two distinct data types: English reasoning chains and Arabic coding instructions.
• Explicitly formatted for Supervised Fine-Tuning (SFT), indicating a ready-to-use structure.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update timestamp is from 2026.

Provenance

Source

Claude Opus 4.7 Reasoning Dataset (angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k)

Collection Method

Combined and cleaned mixture of English coding reasoning chains and Arabic-specific coding instructions.

Freshness

Last updated 2026-05-30 19:36:51