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dvilasuero
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bfcl-kimi

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evals · 1 rows

eval_id string	eval_set_id string	run_id string	task_id string	log string	created timestamp[ns, tz=UTC]	tags string	git_origin string	git_commit string	packages string	metadata string	task_name string	task_display_name string	task_version int64	task_file string	task_attribs string	task_arg_solver string	solver string	solver_args string	sandbox_type string	sandbox_config string	model string	model_base_url string	model_args string	model_generate_config string	model_roles string	dataset_name string	dataset_location string	dataset_samples int64	dataset_sample_ids string	dataset_shuffled bool	epochs int64	epochs_reducer string	approval string	message_limit string	token_limit string	time_limit string	working_limit string	status string	error_message string	error_traceback string	total_samples int64	completed_samples int64	score_headline_name string	score_headline_metric string	score_headline_value float64	score_headline_stderr string	score_bfcl_scorer_accuracy float64
ZCY875LPPJ9waCXB5pLzE3	null	NB7mAYgeS4PuaqXMjooKm2	8zkPY6DUv9oVhN3vbLa9x9	hf://datasets/dvilasuero/bfcl-kimi/logs/2025-11-25T14-39-23+00-00_bfcl_8zkPY6DUv9oVhN3vbLa9x9.eval	2025-11-25T14:39:23		null	null	{"inspect_ai": "0.3.147.dev16+g17cd6f3c"}	null	bfcl	bfcl	0	null	{}	{"type": "solver", "name": "inspect_evals/bfcl_solver", "params": {}}	null	null	null	null	hf-inference-providers/moonshotai/Kimi-K2-Thinking:fastest	https://router.huggingface.co/v1	https://router.huggingface.co/v1	{}	{}	gorilla-llm/Berkeley-Function-Calling-Leaderboard	gorilla-llm/Berkeley-Function-Calling-Leaderboard	100	[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]	false	1	["mean"]	null	null	null	null	null	success	null	null	100	100	bfcl_scorer	accuracy	0.9	null	0.9

bfcl-kimi Evaluation Results

Eval created with evaljobs.

This dataset contains evaluation results for the model hf-inference-providers/moonshotai/Kimi-K2-Thinking:fastest using the eval inspect_evals/bfcl from Inspect Evals.

To browse the results interactively, visit this Space.

How to Run This Eval

pip install git+https://github.com/dvsrepo/evaljobs.git
export HF_TOKEN=your_token_here

evaljobs dvilasuero/bfcl-kimi \
  --model <your-model> \
  --name <your-name> \
  --flavor cpu-basic

Note: For model selection, see the Inspect AI providers documentation. Common examples:

Hugging Face models: hf/meta-llama/Llama-3.1-8B-Instruct (requires --flavor with GPU, e.g., --flavor t4-medium)
HF Inference Providers: hf-inference-providers/openai/gpt-oss-120b:fastest (use --flavor cpu-basic or omit)

Splits

evals: Evaluation runs metadata (one row per evaluation run)
samples: Sample-level data (one row per sample)

Loading

from datasets import load_dataset

evals = load_dataset('dvilasuero/bfcl-kimi', split='evals')
samples = load_dataset('dvilasuero/bfcl-kimi', split='samples')

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