MathX-5M: A Large-Scale Instruction-Tuning Corpus for Mathematical Reasoning

Modotte's MathX-5M dataset is part of a lineup focused on providing high-quality data for model training and fine-tuning. It is curated from public sources and enhanced with synthetic data from both closed and open-source models. The dataset serves as a foundation for instruction-based model tuning and was last updated on February 10, —.

Use Cases

• Instruction tuning of language models based on the described high-quality, instruction-based corpus.
• Improving mathematical reasoning capabilities in LLMs based on the dataset's focus on mathematics.
• Training models for question-answering tasks based on the dataset's association with that task category.
• Generating or augmenting synthetic training data based on the described use of synthetic data from various models.

Strengths

• Dataset is part of a dedicated lineup (MathX) focused on providing high-quality data for training.
• Data is curated from high-quality public sources and enhanced with synthetic data.
• Last updated on February 10, —, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and exact size are unknown, which may limit suitability assessment.

Provenance

Source

Modotte

Collection Method

Curated from high-quality public sources and enhanced with synthetic data from closed and open-source models.

Time Range

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Freshness

Last updated 2026-02-10 07:22:34; freshness should be verified.

Geography

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