The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ValueError
Message:      Invalid IPv6 URL
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 72, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1910, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1270, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 589, in infer_module_for_data_files
                  split_modules = {
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 590, in <dictcomp>
                  split: infer_module_for_data_files_list(data_files_list, download_config=download_config)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 531, in infer_module_for_data_files_list
                  return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 563, in infer_module_for_data_files_list_in_archives
                  extensions_counter = Counter(
                File "/usr/local/lib/python3.9/collections/__init__.py", line 593, in __init__
                  self.update(iterable, **kwds)
                File "/usr/local/lib/python3.9/collections/__init__.py", line 679, in update
                  _count_elements(self, iterable)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 564, in <genexpr>
                  "." + suffix.lower() for filepath in archived_files for suffix in xbasename(filepath).split(".")[1:]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 948, in xbasename
                  if is_local_path(a):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 87, in is_local_path
                  return urlparse(url_or_filename).scheme == "" or os.path.ismount(urlparse(url_or_filename).scheme + ":/")
                File "/usr/local/lib/python3.9/urllib/parse.py", line 401, in urlparse
                  splitresult = urlsplit(url, scheme, allow_fragments)
                File "/usr/local/lib/python3.9/urllib/parse.py", line 496, in urlsplit
                  raise ValueError("Invalid IPv6 URL")
              ValueError: Invalid IPv6 URL

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Data Description:

Both metrics and log data were collected from Product Review Microservice Platform with hundreds of system entities invovled. Four different types of real faults (including DDoS attack, external storage failure, node resource contention stress test, and noisy neighbor issue) were simulated.

Citation:

Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, and Haifeng Chen: LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. CoRR abs/2406.05375 (2024)

References:

[1] Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen: MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW 2024: 4107-4116.

[2] Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen: Interdependent Causal Networks for Root Cause Localization. KDD 2023: 5051-506.

[3]. Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen: Incremental Causal Graph Learning for Online Root Cause Analysis. KDD 2023: 2269-2278.

License:

cc-by-nc-4.0: NonCommercial — You can not use the data for commercial purposes.

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