The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    BrokenPipeError
Message:      [Errno 32] Broken pipe
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1512, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1489, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in get_module
                  dataset_readme_path = cached_path(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 182, in cached_path
                  output_path = get_from_cache(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 644, in get_from_cache
                  http_get(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 411, in http_get
                  with logging.tqdm(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/logging.py", line 207, in __call__
                  return tqdm_lib.tqdm(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/asyncio.py", line 24, in __init__
                  super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1095, in __init__
                  self.refresh(lock_args=self.lock_args)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1344, in refresh
                  self.display()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1492, in display
                  self.sp(self.__str__() if msg is None else msg)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 347, in print_status
                  fp_write('\r' + s + (' ' * max(last_len[0] - len_s, 0)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 340, in fp_write
                  fp.write(str(s))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/utils.py", line 127, in inner
                  return func(*args, **kwargs)
              BrokenPipeError: [Errno 32] Broken pipe

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LLM Security Evaluation

This repo contains scripts for evaluating LLM security abilities. We gathered hundreds of questions cover different ascepts of security, such as vulnerablities, pentest, threat intelligence, etc.

All the questions can be viewed at https://huggingface.co/datasets/c01dsnap/LLM-Sec-Evaluation.

Suppoted LLM

Usage

Because of different LLM requires for different running environment, we highly recommended to manage your virtual envs via Miniconda.

1.Install dependencies

pip install -r requirements.txt

# If you want to use GPU, please install llama-cpp-python with the following command
LLAMA_CUBLAS=1 CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir --force-reinstall --verbose

2.Clone this repo

git clone https://github.com/Coldwave96/LLM-Sec-Evaluation
cd LLM-Sec-Evaluation

3.Run bash scripts

# You might need to modify the script running interpreter in evaluate.py
bash evaluate.sh

Changelog

  • 2023.7.13 - Add support for ChatGLM & Baichuan
  • 2023.7.17 - Add support for Vicuna
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