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Error code: NormalRowsError Exception: FileNotFoundError Message: Couldn't find file at https://raw.githubusercontent.com/rosi-pc/c_corpus/main/c_corpus/train.txt Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 417, in _info await _file_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 837, in _file_info r.raise_for_status() File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/client_reqrep.py", line 1005, in raise_for_status raise ClientResponseError( aiohttp.client_exceptions.ClientResponseError: 404, message='Not Found', url=URL('https://raw.githubusercontent.com/rosi-pc/c_corpus/main/c_corpus/train.txt') The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 258, in get_rows_or_raise return get_rows( File "/src/services/worker/src/worker/utils.py", line 199, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 236, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1379, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 233, in __iter__ yield from self.generate_examples_fn(**self.kwargs) File "/tmp/modules-cache/datasets_modules/datasets/rosimeirecosta--c_corpus/e8a215a307e114ffa2349f1e5e0a8537808005aa9ae0d3a736881a8667e1f4ac/c_corpus.py", line 92, in _generate_examples with open(filepath, encoding="utf-8") as f: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 74, in wrapper return function(*args, download_config=download_config, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 496, in xopen file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open() File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 134, in open return self.__enter__() File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 102, in __enter__ f = self.fs.open(self.path, mode=mode) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1199, in open f = self._open( File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 356, in _open size = size or self.info(path, **kwargs)["size"] File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 115, in wrapper return sync(self.loop, func, *args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 100, in sync raise return_result File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 55, in _runner result[0] = await coro File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 430, in _info raise FileNotFoundError(url) from exc FileNotFoundError: https://raw.githubusercontent.com/rosi-pc/c_corpus/main/c_corpus/train.txt During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 283, in get_rows_or_raise return get_rows( File "/src/services/worker/src/worker/utils.py", line 199, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 221, in get_rows ds = load_dataset( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 2153, in load_dataset builder_instance.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 954, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1717, in _download_and_prepare super()._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in _download_and_prepare split_generators = self._split_generators(dl_manager, **split_generators_kwargs) File "/tmp/modules-cache/datasets_modules/datasets/rosimeirecosta--c_corpus/e8a215a307e114ffa2349f1e5e0a8537808005aa9ae0d3a736881a8667e1f4ac/c_corpus.py", line 70, in _split_generators downloaded_files = dl_manager.download_and_extract(urls_to_download) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/download_manager.py", line 565, in download_and_extract return self.extract(self.download(url_or_urls)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/download_manager.py", line 428, in download downloaded_path_or_paths = map_nested( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 464, in map_nested mapped = [ File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 465, in <listcomp> _single_map_nested((function, obj, types, None, True, None)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 367, in _single_map_nested return function(data_struct) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/download_manager.py", line 454, in _download return cached_path(url_or_filename, download_config=download_config) 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 596, in get_from_cache raise FileNotFoundError(f"Couldn't find file at {url}") FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/rosi-pc/c_corpus/main/c_corpus/train.txt
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annotations_creators:
- annotation languages:
- pt-br multilinguality:
- monolingual source_datasets:
- original task_categories:
- ner
Dataset Card for c_corpus
Dataset Summary
C corpus is a set of annotated data in portuguese for the recognition of named entities, being the extension of the UlyssesNER-Br corpus.
Supported Tasks and Leaderboards
The dataset can be used to train a model for Named Entity Recognition that aims to identify all named entities such as person names, locations, among others, in a text.
Languages
Brazilian Portuguese
Dataset Structure
Data Instances
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Data Fields
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Data Splits
Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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