The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Not able to read records in the JSON file at hf://datasets/Amina-Chouigui/ANTCorpusv2.1@888cfce3d8049fdc3c0dded9f2a819bc09e05f64/dataset_ar.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['data']. Select the correct one and provide it as `field='XXX'` to the dataset loading method. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py", line 132, in compute_first_rows_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2211, 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 1235, 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 1384, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1040, 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 161, in _generate_tables
                  raise ValueError(
              ValueError: Not able to read records in the JSON file at hf://datasets/Amina-Chouigui/ANTCorpusv2.1@888cfce3d8049fdc3c0dded9f2a819bc09e05f64/dataset_ar.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['data']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.

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Dataset Card for ANTCorpus v2.1

Dataset Summary

ANTCorpus v2.1 (31 525 articles with multi-source Arabic news websites)

Supported Tasks and Leaderboards

Text classification and summarization.

Languages

Arabic

Licensing Information

By downloading ANT Corpus, you agree to cite at least one of our papers describing ANT Corpus and/or refer the project's main page in any kind of material you produce where ANT Corpus was used to conduct search or experimentation, whether be it a research paper, dissertation, article, poster, presentation, or documentation.

📄 A. Chouigui, O. Ben Khiroun, and B. Elayeb. An Arabic Multi-source News Corpus: Experimenting on Single-document Extractive Summarization. In Arabian Journal for Science and Engineering (AJSE 2021), 46(08), 1-14, DOI : 10.1007/s13369-020-05258-z , February 2021.

📄 A. Chouigui, O. Ben Khiroun, and B. Elayeb. ANT Corpus : An Arabic News Text Collection for Textual Classification. In proceedings of the 14th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2017), pp. 135-142, Hammamet, Tunisia, October 30 - November 3, 2017.

📄 A. Chouigui, O. Ben Khiroun, and B. Elayeb. A TF-IDF and Co-occurrence Based Approach for Events Extraction from Arabic News Corpus. In proceedings of the 23rd International Conference on Natural Language & Information Systems (NLDB 2018), pp. 272-280, Paris, France, 13-15 June 2018.

📄 A. Chouigui, O. Ben Khiroun and B. Elayeb. Related Terms Extraction from Arabic News Corpus using Word Embedding. In: OTM Conferences & Workshops: Proceedings of the 7th International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society (Meta4eS'18), Springer, LNCS, pp. 1-11, Valletta, Malta, 22-26 October 2018.

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