Open Omega Atom 1.5M: A Compact Reasoning Dataset for Math and Science

Open-Omega-Atom-1.5M is a curated collection derived from multiple high-quality datasets, designed to enhance reasoning capabilities in mathematical and scientific domains. The dataset was created by prithivMLmods and was last updated on Hugging Face in May 2026. It is described as a focused subset that maintains quality and diversity of reasoning patterns while providing an efficient size for training and evaluation.

Use Cases

• Training language models for mathematical problem-solving based on the described reasoning patterns.
• Benchmarking model performance on scientific reasoning tasks.
• Fine-tuning models for multi-step logical inference in technical domains.

Strengths

• Derived from multiple high-quality source datasets, as stated in the description.
• Designed to be a focused and efficient subset for training and evaluation.

Limitations

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

Provenance

Source

Derived from multiple high-quality datasets (specific sources not named).

Collection Method

Curated and optimized collection process.

Freshness

Last updated 2026-05-17 02:47:03.