Toolbench Lfm Chatml: Tool-Use Conversations for AI Training

187,494 training examples of conversational data formatted in ChatML messages, derived from the ToolBench (toolllama_G123_dfs) source. The dataset, created by gyung, is intended for training and evaluating AI models on tool-use interactions. It includes a separate evaluation set of 762 examples.

Use Cases

• Fine-tuning language models for tool invocation based on ChatML-formatted conversations.
• Benchmarking model performance on tool-use tasks using the provided 762 evaluation examples.
• Training conversational agents to follow structured interaction patterns based on the ChatML message format.

Strengths

• Contains 187,494 training examples, providing substantial data for model training.
• Includes a dedicated evaluation split of 762 examples for performance measurement.
• Uses the structured ChatML message format, which is a common standard for conversational AI.

Limitations

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

Provenance

Source

ToolBench (toolllama_G123_dfs)

Collection Method

Likely contains conversational interactions involving tool use, processed into ChatML format.

Freshness

Last updated 2026-02-27 08:39:34; freshness should be verified.