GLM47-REAP-Calibration-V2: Calibration Data for Language Models

REAP surfaces include GLM, MiniMax, Qwen, Gemma, Paper, Code, PR17, and Cerebras Collection. This dataset repository is hosted by 0xSero and was last updated on April 14, 2026. Its specific content and structure are not detailed in the available metadata.

Use Cases

• Calibrating language model outputs based on the REAP framework
• Evaluating model performance across different architectures like GLM and Gemma
• Benchmarking text generation models on tasks mentioned in the REAP surfaces

Strengths

• Dataset is associated with the REAP framework, which surfaces multiple prominent language models.
• Last update timestamp is precisely recorded as 2026-04-14 22:48:41.

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 license information are unknown.

Provenance

Source

0xSero on Hugging Face

Freshness

Last updated 2026-04-14 22:48:41; freshness should be verified.