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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError Exception: ArrowInvalid Message: JSON parse error: Invalid value. in row 0 Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 145, in _generate_tables dataset = json.load(f) File "/usr/local/lib/python3.9/json/__init__.py", line 293, in load return loads(fp.read(), File "/usr/local/lib/python3.9/json/__init__.py", line 346, in loads return _default_decoder.decode(s) File "/usr/local/lib/python3.9/json/decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "/usr/local/lib/python3.9/json/decoder.py", line 355, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head return _examples_to_batch(list(self.take(n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__ yield from islice(self.ex_iterable, self.n) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__ for key, pa_table in self.generate_tables_fn(**self.kwargs): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 148, in _generate_tables raise e File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 122, in _generate_tables pa_table = paj.read_json( File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
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empty or missing yaml metadata in repo card
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This dataset was originally created in August 2018 and was published in Multi-class Multilingual Classification of Wikipedia Articles Using Extended Named Entity Tag Set in LREC'20 (https://huggingface.co/papers/1909.06502).
Description of the data files
enes.json
: This file contains the annotation classes originally provided in the 'Extended Named Entity Hierarchy'. You can find more information about this in the 'Extended Named Entity Hierarchy' (http://www.lrec-conf.org/proceedings/lrec2002/pdf/120.pdf)entity_annotations.json
: This file includes hand annotations for Japanese Wikipedia pages along with Wikipedia page IDs of equivalent pages in English, French, German, and Farsi Wikipedia (wherever an equivalent page has been available).data.jsonl
: This standalone JSONL format file combines the information fromenes.json
andentity_annotations.json
with downloaded Wikipedia articles. The articles were downloaded from Wikipedia during the last week of April 2024.example_data_reader.py
: This Python script provides an example data reader aimed at expediting the process of parsing and utilizing the data files.
If you have any questions or need assistance, feel free to reach out to Hassan S. Shavarani (sshavara@sfu.ca).
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