tool-use-multiturn-reasoning

Summary

dataset_info: features: name: conversations list: name: from dtype: string name: value dtype: string name: tools dtype: string name: task dtype: string name: category dtype: string name: source dtype: string splits: name: train num_bytes: 138012926 num_examples: 14579 download_size: 26612632 dataset_size: 138012926 configs: config_name: default data_files: split: train path: data/train-* license: apache-2.0 task_categories: question-answering language: en tags: tool-use multiturn agentic bfcl reasoning size_categories: 10K<n<100K

Keywords

hf-dataset qa · -reasoning parquet text datasets pandas mlcroissant polars tool-use multiturn agentic bfcl reasoning

Topics

QA, Reasoning

Research notes

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