Datasets:

aborasheed
/

Multilingual-Core-Vocabulary

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 2 new columns ({'Pronunciation', 'Translation'}) and 1 missing columns ({'English Translation'}).

This happened while the csv dataset builder was generating data using

hf://datasets/aborasheed/Multilingual-Core-Vocabulary/Massive_Dataset/Arabic_Final.csv (at revision 1df992b9c7350184dc2ac50256cf243322ceb63e), ['hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Arabic_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Bengali_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Chinese_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Dutch_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/French_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/German_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Hindi_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Indonesian_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Italian_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Japanese_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Korean_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Polish_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Portuguese_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Russian_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Spanish_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Swedish_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Turkish_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Vietnamese_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Arabic_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Bengali_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Chinese_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Dutch_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/French_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/German_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Hindi_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Indonesian_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Italian_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Japanese_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Korean_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Polish_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Portuguese_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Russian_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Spanish_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Swedish_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Turkish_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Vietnamese_Final.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
              Word: string
              Pronunciation: string
              POS_Tag: string
              Translation: string
              Lemma: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 861
              to
              {'Word': Value('string'), 'English Translation': Value('string'), 'POS_Tag': Value('string'), 'Lemma': 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 2 new columns ({'Pronunciation', 'Translation'}) and 1 missing columns ({'English Translation'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/aborasheed/Multilingual-Core-Vocabulary/Massive_Dataset/Arabic_Final.csv (at revision 1df992b9c7350184dc2ac50256cf243322ceb63e), ['hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Arabic_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Bengali_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Chinese_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Dutch_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/French_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/German_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Hindi_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Indonesian_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Italian_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Japanese_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Korean_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Polish_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Portuguese_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Russian_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Spanish_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Swedish_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Turkish_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Balanced_Dataset/Vietnamese_Balanced.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Arabic_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Bengali_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Chinese_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Dutch_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/French_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/German_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Hindi_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Indonesian_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Italian_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Japanese_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Korean_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Polish_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Portuguese_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Russian_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Spanish_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Swedish_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Turkish_Final.csv', 'hf://datasets/aborasheed/Multilingual-Core-Vocabulary@1df992b9c7350184dc2ac50256cf243322ceb63e/Massive_Dataset/Vietnamese_Final.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.

Word string	English Translation string	POS_Tag string	Lemma string
في	in	ADP	فِي
من	from	ADP	مِن
على	on	ADP	عَلَى
عن	about	ADP	عَن
منتدى	forum	NOUN	منتدى
هذا	that	DET	هٰذَا
لا	no	PART	لَا
الله	allah	X	الله
ما	what	DET	مَا
مع	with	ADP	مَعَ
هذه	these	DET	هٰذَا
هو	he	PRON	هُوَ
كل	eat	NOUN	كُلّ
قسم	section	NOUN	قِسم
الذي	which	DET	اَلَّذِي
بعد	yet	ADP	بَعدَ
كان	was	VERB	كَان
المنتدى	forum	NOUN	مُنتَدَى
عدد	number	NOUN	عَدَد
بين	between	ADP	بَينَ
بن	ben	PROPN	بِن
عام	general	ADJ	عَامّ
ذلك	that	DET	ذٰلِكَ
طرف	limb	NOUN	طَرَف
هي	her	PRON	هُوَ
رد	response	NOUN	رَدّ
محمد	mohamed	X	محمد
كما	as	CCONJ	كَمَا
التسجيل	registration	NOUN	تَسجِيل
اليوم	today	NOUN	يَوم
العربية	arabic	ADJ	عَرَبِيّ
قبل	before	ADP	قَبلَ
حتى	until	ADV	حَتَّى
حيث	where	CCONJ	حَيثُ
قد	may	PART	قَد
صور	pictures	NOUN	صُورَة
غير	change	NOUN	غَير
خلال	through	ADP	خِلَالَ
ولا	nor	PART	وَلَّا
العام	year	NOUN	عَام
علي	ali	X	علي
له	him	X	له
تم	done	VERB	تَمّ
كانت	was	VERB	كَان
الموضوع	subject	NOUN	مَوضُوع
عبد	slave	X	عبد
ثم	then	CCONJ	ثُمَّ
تحميل	upload	NOUN	تَحمِيل
المواضيع	subjects	NOUN	مَوضُوع
قال	said	VERB	قَال
بعض	some	NOUN	بَعض
منتديات	forums	NOUN	مُنتَدَى
يا	hey	PART	يَا
مايو	may	NOUN	مَايُو
المساهمات	contributions	NOUN	مُسَاهَمَة
العالم	scientist	NOUN	عَالَم
اللغة	language	NOUN	لُغَة
سنة	year	NOUN	سَنَة
يوم	day	NOUN	يَوم
عند	at	ADP	عِندَ
جميع	all	NOUN	جَمِيع
بواسطة	by	NOUN	بُوَاسَطَة
تحويل	transformation	NOUN	تَحوِيل
مثل	like	ADP	مِثلَ
يكون	be	VERB	كَان
البحث	research	NOUN	بَحث
شركة	company	NOUN	شَرِكَة
مصر	egypt	NOUN	مِصر
لك	yours	X	لك
رقم	number	NOUN	رَقم
تاريخ	history	NOUN	تَارِيخ
يمكن	can	VERB	أَمكَن
حول	about	ADP	حَولَ
العامة	public	ADJ	عَامّ
لها	her	X	لها
مدينة	city	NOUN	مَدِينَة
ولكن	but	X	ولكن
المتحدة	united	ADJ	مُتَّحِد
موقع	location	NOUN	مَوقِع
عرض	view	VERB	عَرَض
فقط	just	ADV	فَقَط
مسلسل	series	NOUN	مُسَلسَل
جديدة	new	ADJ	جَدِيد
هناك	there	ADV	هُنَاكَ
العمل	business	NOUN	عَمَل
منذ	since	ADP	مُنذُ
برنامج	software	NOUN	بَرنَامَج
برامج	programs	NOUN	بَرنَامَج
جديد	new	ADJ	جَدِيد
موضوع	theme	NOUN	مَوضُوع
الحلقة	loop	NOUN	حَلقَة
مشاهدة	watching	NOUN	مُشَاهَدَة
مجاني	free	ADJ	مَجَّانِيّ
عمل	business	NOUN	عَمَل
لكن	but	X	لكن
الثاني	second	ADJ	ثَانِي
هنا	here	ADV	هُنَا
صفحة	page	NOUN	صَفحَة
رئيس	boss	NOUN	رَئِيس
عالم	scholar	NOUN	عَالَم

End of preview.

Multilingual Core Vocabulary 🌍

This dataset contains millions of frequency-sorted, highly accurate words across 19 languages. It is designed to be the ultimate resource for building cross-lingual applications, AI similarity agents, and translation models.

Dataset Structure

This repository contains two variations of the dataset:

Massive_Dataset: Contains over 6 million words. The words were extracted and frequency-sorted from FastText, cleaned from internet noise using official Hunspell dictionaries, translated using Meta's NLLB-600M AI, and Romanized using specialized linguistic libraries.
Balanced_Dataset: Contains highly accurate core vocabulary cross-referenced against Facebook MUSE bilingual dictionaries for perfect 1-to-1 translations.

Features (Columns)

Word: The original word in its native script.
Pronunciation: Romanized English representation of the phonetic pronunciation (e.g., Pinyin for Chinese, Romaji for Japanese).
POS_Tag: The Universal Part-of-Speech tag (e.g., NOUN, VERB, ADJ) generated using the spaCy English NLP model.
Translation: English meaning of the word.

Languages Included

Arabic, Russian, Spanish, French, German, Italian, Portuguese, Korean, Chinese, Japanese, Hindi, Bengali, Turkish, Indonesian, Swedish, Dutch, Polish, Vietnamese, and English.

Pipeline Overview

Extraction: Top words scraped from Common Crawl / Wikipedia via FastText.
Filtration: Strict dictionary validation using Linux Hunspell (removed 15+ million invalid tokens/emojis).
Translation: GPU-accelerated translation via Meta's NLLB-200-distilled-600M.
Romanization: Custom phonetic transliteration using pypinyin, pykakasi, transliterate, and indic-transliteration.
POS Tagging: English translations were tagged using en_core_web_sm (spaCy) to provide a unified grammatical classification across all languages.

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