ABC Triples Rediscovered Via WebAssembly Project

681,380 abc triples were rediscovered during a collaboration between YouTube mathematician Matt Parker and TNG Technology Consulting. The data includes a calculated quality metric for each triple and is sorted by quality in descending order. The dataset was published by TNG Technology Consulting GmbH and last updated in March 2026.

Use Cases

• Analyze the distribution of the 'quality' metric across the 681,380 triples to identify statistical outliers.
• Study the relationship between the 'a', 'b', and 'c' components of each triple and its associated quality score.
• Validate computational methods for generating abc triples by comparing against this rediscovered collection.
• Use the sorted list of triples by quality to investigate properties of triples with exceptionally high or low scores.

Strengths

• Contains 681,380 distinct abc triples, providing a substantial collection for analysis.
• Includes a computed 'quality' metric for each triple, enabling immediate ranking and filtering.

Limitations

• The specific columns (e.g., 'a', 'b', 'c', 'quality') are not explicitly listed, complicating direct schema understanding.
• The method of 'rediscovery' and the original source or time period of the triples are not detailed, limiting reproducibility assessment.

Provenance

Source

TNG Technology Consulting GmbH, generated via a WebAssembly browser tool with a Rust backend.

Collection Method

Rediscovered through a computational collaboration project involving Matt Parker.

Freshness

Last updated March 2026.