Datasets:
DOI:
License:
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'Label', 'Text', 'WordCount', 'URL', 'Code'}) and 21 missing columns ({'A12', 'A7', 'label', 'A21', 'User', 'A19', 'A11', 'A15', 'A1', 'A4', 'A14', 'A16', 'A20', 'A8', 'A9', 'A3', 'ID', 'A6', 'A5', 'A17', 'A13'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AyatMomani/AFTD_II/Data.csv (at revision 5bbd204cff571a78d9617f9c53abcaf19d59b0f3), ['hf://datasets/AyatMomani/AFTD_II@5bbd204cff571a78d9617f9c53abcaf19d59b0f3/Annotations.csv', 'hf://datasets/AyatMomani/AFTD_II@5bbd204cff571a78d9617f9c53abcaf19d59b0f3/Data.csv', 'hf://datasets/AyatMomani/AFTD_II@5bbd204cff571a78d9617f9c53abcaf19d59b0f3/Questions.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
Label: string
Code: string
Text: string
URL: string
WordCount: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 831
to
{'ID': Value('int64'), 'User': Value('string'), 'A1': Value('string'), 'A3': Value('string'), 'A4': Value('string'), 'A5': Value('string'), 'A6': Value('string'), 'A7': Value('string'), 'A8': Value('string'), 'A9': Value('string'), 'A11': Value('string'), 'A12': Value('string'), 'A13': Value('string'), 'A14': Value('string'), 'A15': Value('string'), 'A16': Value('string'), 'A17': Value('string'), 'A19': Value('string'), 'A20': Value('string'), 'A21': Value('string'), 'label': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'Label', 'Text', 'WordCount', 'URL', 'Code'}) and 21 missing columns ({'A12', 'A7', 'label', 'A21', 'User', 'A19', 'A11', 'A15', 'A1', 'A4', 'A14', 'A16', 'A20', 'A8', 'A9', 'A3', 'ID', 'A6', 'A5', 'A17', 'A13'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AyatMomani/AFTD_II/Data.csv (at revision 5bbd204cff571a78d9617f9c53abcaf19d59b0f3), ['hf://datasets/AyatMomani/AFTD_II@5bbd204cff571a78d9617f9c53abcaf19d59b0f3/Annotations.csv', 'hf://datasets/AyatMomani/AFTD_II@5bbd204cff571a78d9617f9c53abcaf19d59b0f3/Data.csv', 'hf://datasets/AyatMomani/AFTD_II@5bbd204cff571a78d9617f9c53abcaf19d59b0f3/Questions.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ID int64 | User string | A1 null | A3 string | A4 string | A5 null | A6 string | A7 null | A8 string | A9 string | A11 null | A12 null | A13 null | A14 null | A15 null | A16 null | A17 null | A19 null | A20 null | A21 null | label string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,435 | User1 | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A3 |
915 | User1 | null | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | A9 |
188 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
2,676 | User1 | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
781 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
2,683 | User1 | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
1,882 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
3,132 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
2,230 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A11 |
2,281 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A2 |
1,320 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
3,059 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
1,731 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
2,365 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A11 |
511 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A7 |
1,970 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
1,042 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
445 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A11 |
2,260 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A17 |
2,576 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A2 |
3,347 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A21 |
2,539 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A2 |
1,035 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
258 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
796 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
1,339 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
645 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
1,420 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
3,252 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A21 |
2,780 | User1 | null | null | 0.5 - Slitly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A11 |
1,615 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A19 |
2,325 | User1 | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
1,481 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A19 |
502 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A7 |
3,320 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
3,465 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A15 |
1,554 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A19 |
668 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
2,611 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A2 |
2,897 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A11 |
3,309 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A21 |
3,060 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
1,259 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
3,186 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
2,541 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A2 |
2,974 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A1 |
1,783 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
3,162 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
2,482 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A2 |
1,454 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
778 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
1,975 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
3,235 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
1,471 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A19 |
1,107 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
1,491 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A19 |
3,243 | User1 | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
1,552 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A19 |
1,052 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A11 |
2,799 | User1 | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
1,920 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
2,745 | User1 | null | null | 0.5 - Slitly | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
1,572 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A19 |
3,182 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
883 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
2,127 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A11 |
3,198 | User1 | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
692 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
2,624 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A2 |
1,892 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
1,312 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
2,874 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
346 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
3,512 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A1 |
2,356 | User1 | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A3 |
325 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
754 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
179 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
438 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
1,086 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
2,766 | User1 | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
1,722 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
1,406 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
632 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
3,222 | User1 | null | null | 0.5 - Slitly | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
3,069 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
1,737 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A15 |
1,313 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A14 |
1,911 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
2,708 | User1 | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
1,470 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A19 |
2,862 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A5 |
2,567 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A2 |
376 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
2,174 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A11 |
2,837 | User1 | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | A6 |
2,066 | User1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A5 |
2,385 | User1 | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A3 |
682 | User1 | null | null | null | null | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | A8 |
33 | User1 | null | null | 2 Strongly | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | A4 |
End of preview.
Description
The AFTD_II dataset contains Arabic text samples grouped into 18 categories.
It was collected to support tasks such as text classification, annotation, and model training.
Additionally, a set of guiding questions was used during data collection and annotation to ensure quality and consistency.
A Jupyter Notebook (Code.ipynb) is included to demonstrate the performance of three baseline models.
Files
Data.csv: The main dataset (Arabic texts in 18 categories)- 'Annotation.csv':Arabic text samples with functional labels assigned by human annotators during the annotation
Questions.csv: Questions used for data collection and annotationCode.ipynb: Python notebook used to evaluate three modelsREADME.md: Documentation file
Features
id: Unique identifier for each sampletext: Arabic text samplelabel: Category label (one of 18 classes)
Authors
This dataset was collected and prepared by:
- Ayat Almomani
- Qusai Shkahtreh
- Yazan N Haj Hussein
- Lujain Smadi
- Rahaf Al-Rwashdeh
- Enas Shatnawi
- Habiba Dahmani
- Ahmed Abdelali
Usage
You can load the dataset directly using the datasets library:
from datasets import load_dataset
dataset = load_dataset("AyatMomani/AFTD_II")
print(dataset)
- Downloads last month
- 14