toolbench
ToolBench_IR_bert_based_uncasedLFM2.5-8B-A1B-Terminal-ToolBench-Full-SFT-1Epoch-GGUFcontriever-base-msmarco-v1-ToolBenchG3contriever-base-msmarco-v1-ToolBenchG2msmarco-roberta-base-ance-firstp-v1-ToolBenchG3msmarco-bert-co-condensor-v1-ToolBenchG2contriever-base-msmarco-v1-ToolBenchG2ToolLLaMA-2-7b-v2
ToolBenchToolBench
Dataset Card for "ToolBench"
More Information needed
Qwen-Terminal-ToolBench-Processed-Tokenized
Qwen Terminal ToolBench Processed Datasets
Qwen-family processed/template-applied and selected tokenized terminal datasets.
Contents
qwen35_2b_full_terminal_toolcall_processed_v1: 1011776 rows, 36.26 GiB, features: text
qwen35_2b_terminal_toolcall_fullconv_from_samecount_v1: 327383 rows, 25.11 GiB, features: text
qwen35_27b_hf_fsdp_1024: 15335 rows, 0.17 GiB, features: input_ids, attention_mask, labels
qwen35_27b_processed_2bdata: 23472 rows, 2.77 GiB, features:… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/Qwen-Terminal-ToolBench-Processed-Tokenized.toolbench-v1
ToolBench Dataset
Dataset Description
ToolBench is an open-source, large-scale, high-quality instruction tuning SFT dataset designed to facilitate the construction of powerful LLMs with general tool-use capability. It was constructed automatically using ChatGPT (gpt-3.5-turbo-16k) upgraded with enhanced function call capabilities.
This dataset corresponds to the training data used for ToolLLaMA.
Repository: OpenBMB/ToolBench
Paper: ToolLLM: Facilitating Large Language… See the full description on the dataset page: https://huggingface.co/datasets/tuandunghcmut/toolbench-v1.ToolBench_reproductionToolBench_toolllama_G123_dfsDataset mentioned for ToolBench project https://github.com/OpenBMB/ToolBench
They were in the google drive data.zip https://drive.google.com/drive/folders/1yBUQ732mPu-KclJnuQELEhtKakdXFc3J
These two json are already processed by the original author. Just plugin into the ToolBnech repo deepseed arguments.
--data_path ./toolllama_G123_dfs_train.json \
--eval_data_path ./toolllama_G123_dfs_eval.json \
My objective is to tailer the training data to 1/100 size and used them for the LLaMA-Factory… See the full description on the dataset page: https://huggingface.co/datasets/Yhyu13/ToolBench_toolllama_G123_dfs.