GSM8K: Grade School Math Word Problems for Language Model Training

OpenAI's GSM8K dataset, converted for compatibility with the MLX-LM-LoRA framework. The dataset, hosted by mlx-community, was last updated on Hugging Face in February 2026. It is described as containing grade school-level mathematics problems designed for training and evaluating language models.

Use Cases

• Fine-tuning language models for mathematical reasoning based on the described grade school math problems.
• Evaluating model performance on question-answering tasks using the word problem format.
• Training models for step-by-step logical reasoning as suggested by the dataset's educational nature.
• Benchmarking language model capabilities in the mathematics domain.

Strengths

• Dataset is derived from OpenAI's established GSM8K benchmark.
• Specifically formatted for compatibility with the MLX-LM-LoRA training framework.
• Last update recorded as 2026-02-13 19:43:19.

Limitations

• Row count, column definitions, and sample data are unavailable, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• License information is unknown, which may restrict usage.

Provenance

Source

OpenAI (original dataset), mlx-community (converted version).

Collection Method

Converted from the original GSM8K dataset to be compatible with MLX-LM-LoRA.

Time Range

null

Freshness

Last updated 2026-02-13 19:43:19.

Geography

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