Language Decoded: Training Logs and Evaluation Results from a Multilingual Model Hackathon

A central hub for training logs, configurations, and evaluation results from the Language Decoded project. The project originated from Cohere's Tiny Aya Expedition hackathon in March 2026 and was extended into Phase 3 for an accompanying paper submitted on 2026-05-26. The dataset serves as a record of experiments exploring the impact of fine-tuning a multilingual model on native-language code.

Use Cases

• Analyze experiment outcomes based on training logs and evaluation results mentioned in the description
• Reproduce or compare fine-tuning configurations based on the stored experiment settings
• Study the impact of fine-tuning on native-language code performance as described in the project paper

Strengths

• Project timeline is documented, originating from a March 2026 hackathon and extending to a paper submission on 2026-05-26
• Dataset is actively maintained, with a last update timestamp of 2026-05-31 14:05:24

Limitations

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

Provenance

Source

legesher on Hugging Face

Collection Method

Experiment tracking for the Language Decoded project, originating from Cohere's Tiny Aya Expedition hackathon.

Time Range

Project activity from March 2026 to at least May 2026.

Freshness

Last updated 2026-05-31 14:05:24