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Datasets:
anisafifi
/
multilingual-quran

Modalities:
Text
Languages:
Arabic
Bengali
English
Tags:
text
multilingual
translation
quran
DOI:
License:
Dataset card Files
xet
 Community
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'

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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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