The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
State: string
Date: int64
DSCI: int64
tweet id: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 601
to
{'tweet id': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2494, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2280, in cast_table_to_features
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
State: string
Date: int64
DSCI: int64
tweet id: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 601
to
{'tweet id': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SocialDrought Dataset
Dataset for the paper "SocialDrought: a social and news media driven dataset and analytical platform towards understanding societal impact of drought"
Paper: https://ojs.aaai.org/index.php/ICWSM/article/view/31447/33607
File Structure
SocialDrought
|--Datasheet_for_the_Dataset.pdf
|--social.csv
|--news.csv
|--meterology.csv
File Description
File 1: social.csv
Description: This file includes the tweet ids for the social media data collected from Twitter. A tweet id is an unique identifier that can be used to retrieve the post content and related information from Twitter (also known as "X").
Number of data points: 1,636,199
Columns:
- "tweet id": Tweet id associated with each social media post
To protect user privacy, only post IDs are released. We recommend retrieving the full post content via the official APIs of each platform, in accordance with their respective terms of service.
File 2: news.csv
Description: This file includes the news articles collected from online news publishers.
Number of data points: 1,482
Columns:
- "Article Name": Title of each news article
- "URL": URL of each news article
- "Category": The topic category of the article
File 3: meteorology.csv
Description: This file includes the meteorological Drought Severity and Coverage Index (DSCI) of U.S. states collected from U.S. Drought Monitor.
Number of data points: 31,977
Columns:
- "State": U.S. state associated with the DSCI
- "Date": Date the DSCI is measured
- "DSCI": Drought Severity and Coverage Index
Citation
@inproceedings{shang2024socialdrought,
title={SocialDrought: a social and news media driven dataset and analytical platform towards understanding societal impact of drought},
author={Shang, Lanyu and Chen, Bozhang and Vora, Anav and Zhang, Yang and Cai, Ximing and Wang, Dong},
booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
volume={18},
pages={2051--2062},
year={2024}
}
Zenodo Dataset DOI: 10.5281/zenodo.10516342
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