Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: AttributeError
Message: 'str' object has no attribute 'items'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1032, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1007, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 685, in get_module
config_name: DatasetInfo.from_dict(dataset_info_dict)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 284, in from_dict
return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'str' object has no attribute 'items'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.
Multilingual Quran Dataset
A multilingual Quran dataset containing the original Arabic text along with translations in multiple languages: Bangla, English, Spanish, French, Indonesian, Russian, Turkish, and Chinese. Each verse includes metadata such as chapter number, verse number, chapter names, transliterations, and verse text in all available languages.
Dataset Summary
- Number of examples: 6236 verses
- Languages:
ar,bn,en,es,fr,id,ru,tr,zh - File formats: JSONL, Parquet
- License: CC BY 4.0
- Homepage / Source: Website
Dataset Structure
Each record in the dataset represents a single verse and contains the following fields:
| Field | Description |
|---|---|
id |
Verse ID in the format chapter:verse (e.g., 1:1) |
chapter_number |
Surah (chapter) number |
chapter_name |
Chapter name in Arabic |
verse_number |
Verse number within the chapter |
chapter_type |
meccan or medinan |
total_verses |
Total number of verses in the chapter |
text_ar |
Original Arabic text of the verse |
text_bn |
Verse translation in Bangla |
text_en |
Verse translation in English |
text_es |
Verse translation in Spanish |
text_fr |
Verse translation in French |
text_id |
Verse translation in Indonesian |
text_ru |
Verse translation in Russian |
text_tr |
Verse translation in Turkish |
text_zh |
Verse translation in Chinese |
Usage
Load the dataset using pandas:
import pandas as pd
# JSONL version
df = pd.read_json("quran_combined.jsonl", lines=True)
print(df.head())
# Parquet version
df_parquet = pd.read_parquet("quran_combined.parquet")
print(df_parquet.head())
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