BatteryLife Raw: Complete Cycle Test Capacity Data

BatteryLife Raw provides the complete cycle test capacity data from the CALB dataset, originally used for battery life prediction. The dataset was released by the Battery-Life organization on Hugging Face in December 2025. It is intended for battery informatics tasks and serves as a benchmark for predictive modeling.

Use Cases

• Predicting battery cycle life based on capacity degradation data.
• Benchmarking machine learning models for battery life forecasting.
• Analyzing battery degradation patterns from cycle test data.
• Developing models for remaining useful life (RUL) estimation in energy storage systems.

Strengths

• Includes the complete cycle test capacity data from the CALB dataset, as stated in the v2 release note.
• Serves as a dedicated benchmark dataset for the specific task of battery life prediction.
• Data is timestamped using the Anywhere on Earth time zone, providing a consistent temporal reference.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The description is medium-completeness, lacking specific details on file formats and data structure.

Provenance

Source

Battery-Life organization via Hugging Face.

Collection Method

Likely collected from laboratory cycle testing of batteries.

Freshness

Last updated 2025-12-17 08:31:42