Dataset Viewer
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code: InfoError Exception: ReadTimeout Message: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: e2075a50-82b9-4628-a692-2a31fe5cd221)') Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 211, in compute_first_rows_from_streaming_response info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 277, in get_dataset_config_info builder = load_dataset_builder( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1849, in load_dataset_builder dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1731, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1688, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1067, in get_module data_files = DataFilesDict.from_patterns( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 721, in from_patterns else DataFilesList.from_patterns( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 634, in from_patterns origin_metadata = _get_origin_metadata(data_files, download_config=download_config) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 548, in _get_origin_metadata return thread_map( File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs)) File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1169, in __iter__ for obj in iterable: File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 609, in result_iterator yield fs.pop().result() File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 446, in result return self.__get_result() File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result raise self._exception File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 58, in run result = self.fn(*self.args, **self.kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 527, in _get_single_origin_metadata resolved_path = fs.resolve_path(data_file) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist self._api.repo_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2704, in repo_info return method( File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2561, in dataset_info r = get_session().get(path, headers=headers, timeout=timeout, params=params) File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 602, in get return self.request("GET", url, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request resp = self.send(prep, **send_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send r = adapter.send(request, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 93, in send return super().send(request, *args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 635, in send raise ReadTimeout(e, request=request) requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: e2075a50-82b9-4628-a692-2a31fe5cd221)')
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Dataset Card for my-distiset-545hgh5
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml
which can be used to reproduce the pipeline that generated it in distilabel using the distilabel
CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/hugmah/my-distiset-545hgh5/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/hugmah/my-distiset-545hgh5/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"Answer": "Anh Tr\u1ecdng t\u00e0i v\u00e0 t\u1ed5 VAR \u0111\u01b0\u1ee3c cho x\u1eed l\u00fd \u0111\u00fang quy \u0111\u1ecbnh khi can thi\u1ec7p, h\u1ee7y qu\u1ea3 ph\u1ea1t \u0111\u1ec1n c\u1ee7a Everton \u1edf cu\u1ed1i tr\u1eadn h\u00f2a Man Utd 2-2 t\u1ea1i v\u00f2ng 26 Ngo\u1ea1i h\u1ea1ng Anh.",
"Category": "B\u00f3ng \u0111\u00e1",
"ID": 1,
"Question": "VnExpress: V\u00ec sao Man Utd tho\u00e1t ph\u1ea1t \u0111\u1ec1n tr\u01b0\u1edbc Everton??",
"Solution": "https://vnexpress.net/vi-sao-man-utd-thoat-phat-den-truoc-everton-4853591.html",
"Source": "https://vnexpress.net/vi-sao-man-utd-thoat-phat-den-truoc-everton-4853591.html"
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("hugmah/my-distiset-545hgh5", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("hugmah/my-distiset-545hgh5")
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