Socratic Instruction Dataset for LLM Training

Socratic is a text dataset for instruction tuning and question answering, created by FreedomIntelligence and hosted on Hugging Face. The dataset falls within the 10k to 100k sample size category and was last updated in June 2025. It is released under the Apache 2.0 license.

Use Cases

• Fine-tuning language models to follow instructions using the provided instruction-response pairs.
• Training models for conversational question answering based on the dataset's text modality.
• Benchmarking model performance on instruction-following tasks using the structured text data.
• Creating synthetic training data pipelines by analyzing the dataset's instruction-tuning patterns.

Strengths

• Contains between 10,000 and 100,000 text samples.
• Released under the permissive Apache 2.0 license.

Limitations

• Sample size is only known as a broad range, not a precise count.
• No specific column names or data structure details are available for validation.

Provenance

Source

FreedomIntelligence via Hugging Face.

Collection Method

null

Time Range

null

Freshness

Last updated June 2025.

Geography

Region tag indicates US, but specific spatial coverage is unknown.