ArSyra Instruction Tuning: Arabic Dialectal LLM Fine-Tuning Data

Arabic instruction-tuning data combining instruction-following pairs, instruction descriptions, freeform responses, and quality control data. The dataset contains over 3,300 records designed for fine-tuning Arabic language models, created by ArSyra and last updated in March 2026.

Use Cases

• Supervised fine-tuning (SFT) of Arabic LLMs based on the described instruction-following pairs.
• Training models to handle Arabic dialectal variations based on the dialectal instruction pairs mentioned.
• Improving instruction-following capabilities in Arabic LLMs based on the described instruction descriptions and responses.
• Benchmarking or evaluating the quality of Arabic LLM outputs using the described quality control data.

Strengths

• Over 3,300 records specifically for Arabic LLM fine-tuning.
• Includes multiple data components: instruction-following pairs, descriptions, freeform responses, and quality control data.
• Focuses on Arabic dialects, a noted gap in NLP resources.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known (3,300+), but the exact number and data scale are not fully detailed.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

ArSyra

Freshness

Last updated 2026-03-15 00:00:35; freshness should be verified.

Geography

Arabic-speaking regions, with a focus on dialectal data.