Datasets:
The dataset preview is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Cannot seek streaming HTTP file
Traceback: Traceback (most recent call last):
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 485, in compute_first_rows_response
rows = get_rows(
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 120, in decorator
return func(*args, **kwargs)
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 176, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 917, in __iter__
for key, example in ex_iterable:
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 113, in __iter__
yield from self.generate_examples_fn(**self.kwargs)
File "/tmp/modules-cache/datasets_modules/datasets/ar_cov19/818d9b774f4b70542b6807e6ddb6db32c916aafeba4fbdcd228ec79d21edaeab/ar_cov19.py", line 131, in _generate_examples
for fname in sorted(glob.glob(os.path.join(data_dir, "ArCOV-19-master/dataset/all_tweets/2020-*"))):
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 70, in wrapper
return function(*args, use_auth_token=use_auth_token, **kwargs)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 568, in xglob
fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/core.py", line 586, in get_fs_token_paths
fs = filesystem(protocol, **inkwargs)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 252, in filesystem
return cls(**storage_options)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 76, in __call__
obj = super().__call__(*args, **kwargs)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 54, in __init__
self.zip = zipfile.ZipFile(self.fo, mode=mode)
File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__
self._RealGetContents()
File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents
endrec = _EndRecData(fp)
File "/usr/local/lib/python3.9/zipfile.py", line 263, in _EndRecData
fpin.seek(0, 2)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 737, in seek
raise ValueError("Cannot seek streaming HTTP file")
ValueError: Cannot seek streaming HTTP fileNeed help to make the dataset viewer work? Open an discussion for direct support.
Dataset Card for ArCOV19
Dataset Summary
ArCOV-19 is an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 30th of April 2020. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes over 1M tweets alongside the propagation networks of the most-popular subset of them (i.e., most-retweeted and-liked). The propagation networks include both retweets and conversational threads (i.e., threads of replies). ArCOV-19 is designed to enable research under several domains including natural language processing, information retrieval, and social computing, among others. Preliminary analysis shows that ArCOV-19 captures rising discussions associated with the first reported cases of the disease as they appeared in the Arab world. In addition to the source tweets and the propagation networks, we also release the search queries and the language-independent crawler used to collect the tweets to encourage the curation of similar datasets.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Arabic
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
tweet_id: the Twitter assigned ID for the tweet object.
Data Splits
[More Information Needed]
Dataset Creation
The dataset collection approach is presented in the following paper: ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
No annotation was provided with the dataset.
Annotation process
No annotation was provided with the dataset.
Who are the annotators?
No annotation was provided with the dataset.
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
Team: bigIR from Qatar University (@bigIR_group)
Licensing Information
[More Information Needed]
Citation Information
@article{haouari2020arcov19, title={ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks}, author={Fatima Haouari and Maram Hasanain and Reem Suwaileh and Tamer Elsayed}, journal={arXiv preprint arXiv:2004.05861}, year={2020} }
Contributions
Thanks to @Fatima-Haouari for adding this dataset.
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