nvidia/BFCL-Hi
Dataset Description: The BFCL-Hi (Hindi BFCL) dataset evaluates the function-calling capability of large language models (LLMs) when questions are asked in Hindi. This is the GCP-translated version of the English BFCL dataset, in which question-function-answer pairs across various domains and multiple languages are originally curated in English. This dataset is ready for commercial/non-commercial use. The evaluation steps are described here. Other Hindi benchmark datasets: [… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/BFCL-Hi.
Update README.md
Update README.md
Upload 10 files
Delete BFCL_v2_live_simple_ground_truth.json
Delete BFCL_v2_live_simple.json
Delete BFCL_v2_live_relevance.json
Delete BFCL_v2_live_parallel_multiple_ground_truth.json
Delete BFCL_v2_live_parallel_multiple.json
Delete BFCL_v2_live_parallel_ground_truth.json
Delete BFCL_v2_live_parallel.json
Delete BFCL_v2_live_multiple_ground_truth.json
Delete BFCL_v2_live_multiple.json
Delete BFCL_v2_live_irrelevance.json
Update README.md
Rename BFCL-EVAL.md to EVAL.md
Upload BFCL-EVAL.md
Update README.md
Upload 10 files
initial commit
