The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
dataset: string
version: string
generated_at: timestamp[s]
selection: struct<rule: string, unit: string, threshold_bytes: int64>
child 0, rule: string
child 1, unit: string
child 2, threshold_bytes: int64
sources_note: string
languages: struct<af: struct<kept: int64, coverage: double, sources: struct<wikipedia-monthly: struct<text_byte (... 23266 chars omitted)
child 0, af: struct<kept: int64, coverage: double, sources: struct<wikipedia-monthly: struct<text_bytes: int64, t (... 115 chars omitted)
child 0, kept: int64
child 1, coverage: double
child 2, sources: struct<wikipedia-monthly: struct<text_bytes: int64, tokens: int64>, FineWeb2-HQ-plus: struct<text_by (... 27 chars omitted)
child 0, wikipedia-monthly: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 1, FineWeb2-HQ-plus: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 3, text_bytes: int64
child 4, tokens_total: int64
child 1, am: struct<kept: int64, coverage: double, sources: struct<wikipedia-monthly: struct<text_bytes: int64, t (... 115 chars omitted)
child 0, kept: int64
child 1, coverage: double
child 2, sources: struct<wikipedia-monthly: struct<text_bytes: int64, tokens: int64>, FineWeb2-HQ-plus: struct<text_by (... 27 chars omitted)
child 0, wikipedia-monthly: struct<text_bytes
...
ly: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 1, FineWeb2-HQ-plus: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 3, text_bytes: int64
child 4, tokens_total: int64
child 109, zh: struct<kept: int64, coverage: double, sources: struct<wikipedia-monthly: struct<text_bytes: int64, t (... 175 chars omitted)
child 0, kept: int64
child 1, coverage: double
child 2, sources: struct<wikipedia-monthly: struct<text_bytes: int64, tokens: int64>, Ultra-FineWeb-L3: struct<text_by (... 87 chars omitted)
child 0, wikipedia-monthly: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 1, Ultra-FineWeb-L3: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 2, FineWeb2-HQ-plus: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 3, text_bytes: int64
child 4, tokens_total: int64
algorithm: string
generatedAt: timestamp[s]
files: list<item: struct<file: string, bytes: int64, sha256: string>>
child 0, item: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
to
{'generatedAt': Value('timestamp[s]'), 'algorithm': Value('string'), 'files': List({'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
dataset: string
version: string
generated_at: timestamp[s]
selection: struct<rule: string, unit: string, threshold_bytes: int64>
child 0, rule: string
child 1, unit: string
child 2, threshold_bytes: int64
sources_note: string
languages: struct<af: struct<kept: int64, coverage: double, sources: struct<wikipedia-monthly: struct<text_byte (... 23266 chars omitted)
child 0, af: struct<kept: int64, coverage: double, sources: struct<wikipedia-monthly: struct<text_bytes: int64, t (... 115 chars omitted)
child 0, kept: int64
child 1, coverage: double
child 2, sources: struct<wikipedia-monthly: struct<text_bytes: int64, tokens: int64>, FineWeb2-HQ-plus: struct<text_by (... 27 chars omitted)
child 0, wikipedia-monthly: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 1, FineWeb2-HQ-plus: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 3, text_bytes: int64
child 4, tokens_total: int64
child 1, am: struct<kept: int64, coverage: double, sources: struct<wikipedia-monthly: struct<text_bytes: int64, t (... 115 chars omitted)
child 0, kept: int64
child 1, coverage: double
child 2, sources: struct<wikipedia-monthly: struct<text_bytes: int64, tokens: int64>, FineWeb2-HQ-plus: struct<text_by (... 27 chars omitted)
child 0, wikipedia-monthly: struct<text_bytes
...
ly: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 1, FineWeb2-HQ-plus: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 3, text_bytes: int64
child 4, tokens_total: int64
child 109, zh: struct<kept: int64, coverage: double, sources: struct<wikipedia-monthly: struct<text_bytes: int64, t (... 175 chars omitted)
child 0, kept: int64
child 1, coverage: double
child 2, sources: struct<wikipedia-monthly: struct<text_bytes: int64, tokens: int64>, Ultra-FineWeb-L3: struct<text_by (... 87 chars omitted)
child 0, wikipedia-monthly: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 1, Ultra-FineWeb-L3: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 2, FineWeb2-HQ-plus: struct<text_bytes: int64, tokens: int64>
child 0, text_bytes: int64
child 1, tokens: int64
child 3, text_bytes: int64
child 4, tokens_total: int64
algorithm: string
generatedAt: timestamp[s]
files: list<item: struct<file: string, bytes: int64, sha256: string>>
child 0, item: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
to
{'generatedAt': Value('timestamp[s]'), 'algorithm': Value('string'), 'files': List({'file': Value('string'), 'bytes': Value('int64'), 'sha256': 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.
Word Frequency Lists (110 languages)
English | 中文说明
Small word-frequency lists for 110 languages, self-built for use as offline frequency dictionaries: one gzip-compressed MessagePack file per language, about 13 MB in total. These lists are also the direct vocabulary source of vocabradar/WordTranslation, which translates them word by word.
The lists come from a single pyicu BreakIterator segmentation pipeline over
FineWeb2 HQ+,
UltraFineWeb L3, and
Wikipedia (each source capped at 1 GiB of
text per language). Word selection uses a size-aware frequency gate:
fu_w > 1e-6 AND fu_w / word_bytes > 2e-7, packed into 700 centibel bands.
Selection rule: a language is included when its total source text volume
exceeds 100 MB (104,857,600 bytes, summed over sources; text_bytes in meta.json). Each
source is capped at 1 GiB during corpus build.
Current revision: v7 (2026-10-26). See Version history.
Files
├── README.md
├── meta.json # dataset metadata (see fields below)
└── data/
└── small_<code>.msgpack.gz # one file per language,
# e.g. small_en.msgpack.gz, small_th.msgpack.gz
meta.json records per language: kept (words in the list), coverage (real corpus
coverage of the list), sources (per-source text_bytes / tokens), and derived
text_bytes (total source volume) and tokens_total.
All languages use 700 centibel bands with the same cBpack encoding (header + list of bands). See Data format.
Cleaning rules
Single upstream pipeline (pyicu BreakIterator + all-script Unicode rule set), identical for every language:
- Normalization: NFC for Latin/Greek/Cyrillic scripts, NFKC otherwise; abjad vowel-mark
removal (
ar,he,fa,ur,ps,sd,ug, ...); casefold with dotless-i fortr/az/kk; cedilla→comma fix forro. - Rejection rules:
no_letter,numeric,has_digit,domain_tld,diacritic_single,foreign(per-language script whitelist). - Frequency gate:
fu_w > 1e-6ANDfu_w / word_bytes > 2e-7, whereword_bytesis the word's UTF-8 length (+1 for languages written with spaces).
For implementation details see the source pipeline: WordFrequency/scripts/build_wordfreq.py (in the
VocabRadar data repo).
Vocabulary lists
Alphabetical by language code.
| code | language | native name | first word | cb | float | words | cumulative coverage |
|---|---|---|---|---|---|---|---|
| af | Afrikaans | Afrikaans | die | 116 | 6.92e-02 | 27,289 | 87.9% |
| am | Amharic | አማርኛ | እና | 176 | 1.74e-02 | 30,174 | 75.6% |
| ar | Arabic | العربية | في | 153 | 2.95e-02 | 34,950 | 78.1% |
| arz | Egyptian Arabic | مصرى | فى | 144 | 3.63e-02 | 12,783 | 79.8% |
| as | Assamese | অসমীয়া | আৰু | 162 | 2.40e-02 | 18,601 | 77.9% |
| ast | Asturian | asturianu | de | 119 | 6.46e-02 | 36,867 | 84.2% |
| az | Azerbaijani | azərbaycan | və | 153 | 2.95e-02 | 38,016 | 80.2% |
| azb | South Azerbaijani | تۆرکجه | و | 168 | 2.09e-02 | 10,407 | 52.7% |
| ba | Bashkir | башҡортса | һәм | 171 | 1.95e-02 | 22,247 | 73.8% |
| be | Belarusian | беларуская | і | 156 | 2.75e-02 | 26,836 | 71.4% |
| bew | Betawi | Basa Betawi | yang | 169 | 2.04e-02 | 32,004 | 91.7% |
| bg | Bulgarian | български | на | 127 | 5.37e-02 | 23,184 | 77.4% |
| bn | Bengali | বাংলা | এবং | 187 | 1.35e-02 | 18,147 | 77.6% |
| bo | Tibetan | བོད་ཡིག | པ | 147 | 3.39e-02 | 4,812 | 97.4% |
| bs | Bosnian | bosanski | i | 144 | 3.63e-02 | 43,867 | 82.5% |
| ca | Catalan | català | de | 122 | 6.03e-02 | 30,554 | 87.0% |
| ce | Chechen | нохчийн | а | 149 | 3.24e-02 | 4,772 | 74.1% |
| ceb | Cebuano | Cebuano | sa | 124 | 5.75e-02 | 12,376 | 87.5% |
| ckb | Central Kurdish | کوردی | لە | 128 | 5.25e-02 | 23,055 | 77.6% |
| cs | Czech | čeština | a | 153 | 2.95e-02 | 43,516 | 78.7% |
| cy | Welsh | Cymraeg | yn | 133 | 4.68e-02 | 27,914 | 84.9% |
| da | Danish | dansk | i | 150 | 3.16e-02 | 31,312 | 83.9% |
| de | German | Deutsch | der | 149 | 3.24e-02 | 32,074 | 80.8% |
| dv | Dhivehi | ދިވެހި | އެވެ | 183 | 1.48e-02 | 22,674 | 81.7% |
| el | Greek | Ελληνικά | και | 151 | 3.09e-02 | 20,531 | 77.2% |
| en | English | English | the | 121 | 6.17e-02 | 25,475 | 90.9% |
| eo | Esperanto | Esperanto | la | 113 | 7.41e-02 | 38,703 | 80.3% |
| es | Spanish | español | de | 114 | 7.24e-02 | 29,488 | 89.4% |
| et | Estonian | eesti | ja | 151 | 3.09e-02 | 43,564 | 76.0% |
| eu | Basque | euskara | eta | 142 | 3.80e-02 | 37,926 | 81.0% |
| fa | Persian | فارسی | و | 140 | 3.98e-02 | 18,812 | 86.3% |
| fi | Finnish | suomi | ja | 148 | 3.31e-02 | 43,242 | 69.4% |
| fil | Tagalog | Tagalog | sa | 120 | 6.31e-02 | 25,283 | 91.6% |
| fr | French | français | de | 123 | 5.89e-02 | 30,283 | 88.9% |
| fy | West Frisian | Frysk | de | 130 | 5.01e-02 | 32,813 | 83.5% |
| ga | Irish | Gaeilge | an | 137 | 4.27e-02 | 27,106 | 88.2% |
| gl | Galician | galego | de | 127 | 5.37e-02 | 31,191 | 86.7% |
| gmh | Middle High German | Mittelhochdeutsch | und | 197 | 1.07e-02 | 35,007 | 86.3% |
| gu | Gujarati | ગુજરાતી | છે | 133 | 4.68e-02 | 19,297 | 80.5% |
| ha | Hausa | Harshen Hausa | da | 119 | 6.46e-02 | 23,058 | 89.0% |
| he | Hebrew | עברית | של | 162 | 2.40e-02 | 40,467 | 80.5% |
| hi | Hindi | हिन्दी | के | 138 | 4.17e-02 | 14,413 | 86.0% |
| hr | Croatian | hrvatski | i | 147 | 3.39e-02 | 45,220 | 81.4% |
| hu | Hungarian | magyar | a | 110 | 7.94e-02 | 39,941 | 74.3% |
| hy | Armenian | հայերեն | է | 140 | 3.98e-02 | 22,345 | 71.0% |
| id | Indonesian | Bahasa Indonesia | yang | 155 | 2.82e-02 | 29,234 | 86.3% |
| ig | Igbo | Asụsụ Igbo | na | 104 | 9.12e-02 | 23,765 | 87.1% |
| is | Icelandic | íslenska | og | 142 | 3.80e-02 | 33,521 | 84.2% |
| it | Italian | italiano | di | 139 | 4.07e-02 | 33,439 | 86.9% |
| ja | Japanese | 日本語 | の | 129 | 5.13e-02 | 27,259 | 88.8% |
| ka | Georgian | ქართული | და | 148 | 3.31e-02 | 19,548 | 65.9% |
| kk | Kazakh | қазақша | және | 185 | 1.41e-02 | 25,922 | 74.3% |
| km | Khmer | ខ្មែរ | បាន | 173 | 1.86e-02 | 12,302 | 89.9% |
| kn | Kannada | ಕನ್ನಡ | ಮತ್ತು | 172 | 1.91e-02 | 21,850 | 65.1% |
| ko | Korean | 한국어 | 년 | 187 | 1.35e-02 | 42,580 | 59.6% |
| ku | Kurdish | kurdî | li | 163 | 2.34e-02 | 30,109 | 82.8% |
| ky | Kyrgyz | кыргызча | жана | 175 | 1.78e-02 | 26,184 | 77.3% |
| la | Latin | Latina | et | 152 | 3.02e-02 | 41,416 | 81.4% |
| lb | Luxembourgish | Lëtzebuergesch | an | 162 | 2.40e-02 | 33,684 | 82.2% |
| lo | Lao | ພາສາລາວ | ຂອງ | 158 | 2.63e-02 | 8,165 | 90.6% |
| lt | Lithuanian | lietuvių | ir | 152 | 3.02e-02 | 44,180 | 79.3% |
| lv | Latvian | latviešu | un | 151 | 3.09e-02 | 41,008 | 82.8% |
| mg | Malagasy | Malagasy | ny | 111 | 7.76e-02 | 23,818 | 80.0% |
| mk | Macedonian | македонски | на | 125 | 5.62e-02 | 22,246 | 80.1% |
| ml | Malayalam | മലയാളം | ഒരു | 191 | 1.23e-02 | 19,303 | 52.5% |
| mn | Mongolian | монгол | нь | 162 | 2.40e-02 | 23,142 | 83.1% |
| mr | Marathi | मराठी | आणि | 178 | 1.66e-02 | 20,174 | 75.3% |
| ms | Malay | Bahasa Melayu | yang | 154 | 2.88e-02 | 26,033 | 89.9% |
| mt | Maltese | Malti | l | 142 | 3.80e-02 | 27,749 | 90.3% |
| my | Myanmar | မြန်မာ | ကို | 163 | 2.34e-02 | 8,704 | 92.2% |
| nb | Norwegian Bokmål | norsk bokmål | og | 149 | 3.24e-02 | 28,715 | 87.4% |
| ne | Nepali | नेपाली | र | 164 | 2.29e-02 | 19,634 | 80.1% |
| new | Newari | नेपाल भाषा | thumb | 294 | 1.15e-03 | 2,894 | 2.0% |
| nl | Dutch | Nederlands | de | 122 | 6.03e-02 | 29,041 | 84.6% |
| nn | Norwegian Nynorsk | norsk nynorsk | i | 140 | 3.98e-02 | 31,299 | 82.1% |
| no | Norwegian | norsk | i | 143 | 3.72e-02 | 36,870 | 76.3% |
| nrm | Norman | Normaund | de | 144 | 3.63e-02 | 37,834 | 65.2% |
| oc | Occitan | occitan | de | 115 | 7.08e-02 | 36,968 | 84.0% |
| or | Odia | ଓଡ଼ିଆ | ଓ | 192 | 1.20e-02 | 18,890 | 81.3% |
| pa | Punjabi | ਪੰਜਾਬੀ | ਹੈ | 156 | 2.75e-02 | 15,494 | 87.4% |
| pl | Polish | polski | w | 141 | 3.89e-02 | 44,785 | 78.6% |
| pnb | Western Punjabi | پنجابی | دے | 145 | 3.55e-02 | 19,856 | 83.2% |
| ps | Pashto | پښتو | د | 105 | 8.91e-02 | 19,349 | 89.3% |
| pt | Portuguese | português | de | 127 | 5.37e-02 | 30,823 | 88.7% |
| ro | Romanian | română | de | 133 | 4.68e-02 | 36,662 | 85.3% |
| ru | Russian | русский | в | 142 | 3.80e-02 | 28,737 | 73.3% |
| sd | Sindhi | سنڌي | جي | 134 | 4.57e-02 | 19,326 | 88.4% |
| sh | Serbo-Croatian | srpskohrvatski | u | 146 | 3.47e-02 | 43,563 | 79.3% |
| si | Sinhala | සිංහල | සහ | 214 | 7.24e-03 | 20,592 | 78.5% |
| sk | Slovak | slovenčina | a | 152 | 3.02e-02 | 44,353 | 79.9% |
| sl | Slovenian | slovenščina | je | 149 | 3.24e-02 | 43,561 | 82.4% |
| so | Somali | Soomaaliga | oo | 154 | 2.88e-02 | 33,472 | 88.8% |
| sq | Albanian | shqip | të | 119 | 6.46e-02 | 34,083 | 88.1% |
| sr | Serbian | српски | је | 155 | 2.82e-02 | 22,537 | 59.8% |
| sv | Swedish | svenska | och | 151 | 3.09e-02 | 32,738 | 81.7% |
| sw | Swahili | Kiswahili | ya | 122 | 6.03e-02 | 24,555 | 88.9% |
| ta | Tamil | தமிழ் | ஒரு | 207 | 8.51e-03 | 19,145 | 61.7% |
| te | Telugu | తెలుగు | నుండి | 205 | 8.91e-03 | 19,393 | 67.3% |
| tg | Tajik | тоҷикӣ | дар | 147 | 3.39e-02 | 21,633 | 77.1% |
| th | Thai | ไทย | ที่ | 162 | 2.40e-02 | 10,648 | 88.1% |
| tr | Turkish | Türkçe | ve | 156 | 2.75e-02 | 43,447 | 74.3% |
| tt | Tatar | татарча | һәм | 193 | 1.17e-02 | 12,504 | 68.5% |
| ug | Uyghur | ئۇيغۇرچە | ۋە | 183 | 1.48e-02 | 25,287 | 76.0% |
| uk | Ukrainian | українська | в | 172 | 1.91e-02 | 27,817 | 73.8% |
| ur | Urdu | اردو | کے | 142 | 3.80e-02 | 16,966 | 89.3% |
| uz | Uzbek | oʻzbekcha | va | 173 | 1.86e-02 | 32,259 | 54.6% |
| vi | Vietnamese | Tiếng Việt | là | 186 | 1.38e-02 | 12,420 | 91.9% |
| war | Waray | Winaray | nga | 123 | 5.89e-02 | 23,655 | 84.0% |
| yi | Yiddish | ייִדיש | די | 142 | 3.80e-02 | 21,665 | 85.9% |
| zh | Chinese | 中文 | 的 | 137 | 4.27e-02 | 35,707 | 90.8% |
| Total | 110 languages | — | — | — | — | 2,997,108 | — |
(first word = highest-frequency headword, sanity check. cb = centibel band of top word, float = token share. words = number of headwords in the list. cumulative coverage = Σ n_b × 10^(-b/100).)
Data format
Each file is a gzipped MessagePack array of [header, band_0..band_699]. Each band holds
words whose frequency was rounded to that centibel (cB), so band b ≈ 10^(-b/100) of
running tokens.
import gzip, msgpack
with gzip.open('data/small_en.msgpack.gz', 'rb') as f:
obj = msgpack.unpackb(f.read(), raw=False)
header, *bands = obj
# header == {'format': 'cB', 'version': 1, 'lang': 'en',
# 'sources': ['ultrafineweb_l3', 'wikipedia']}
words = [(w, 10 ** (-b / 100)) for b, band in enumerate(bands) for w in band]
# words[0] ≈ ('the', ...) — rank 1 word of English
Version history
- v7 (2026-10-26): full rebuild from the self-built pyicu pipeline (single source,
no more wordfreq merge). Uniform 700 bands, word gate
fu_w > 1e-6andfu_w / word_bytes > 2e-7. Selection: total source text_bytes > 100 MB → 110 languages (Simple Englishsimpleexcluded: a wiki edition code, not a language code). Tagalog/Filipino is published under the ISO 639-3 codefil(not the legacytl), one code for Tagalog/Filipino. Script whitelists fixed force,ba,tt,azb,ug,pnb,sd,arz,skr(their non-Latin words were being rejected asforeign, leaving only Latin debris). Cross-source frequency merge uses a global volume denominator (a source the word is absent from counts as zero frequency); an earlier per-word renormalization inflated words unique to small sources (e.g.bewlist coverage estimated at 110%). - v6 (merged 2026-10-26): merged wordfreq v4 (42 langs) into WordFrequency v5. Overlapping 42 languages use wf_v4 files+meta. 28 v5-only languages preserved. th file explicitly kept from v5 (user's own, higher-coverage pyicu result). 3 wf-v4-only languages restored (fil, is, sh).
- v5 (2026-10-26): WordFrequency self-built pyicu BreakIterator corpus (wiki + ultra + fw2). 76 languages (10^-7 threshold, 700 bands).
- v4 (2026-10-12): wordfreq v4 on HF — added
digit_mix,possessive,mark_only,diacritic_single,stroke_single,jamo_single. 43 languages, cumulative counts across in-place revisions. Released as https://huggingface.co/datasets/vocabradar/wordfreq. - v3 (2026-10-10): wordfreq v3 —
numericrule (digit-led codes, CJK numerals, numeric phrases).meta.jsonreorganized aslanguages[lang] = {total, removed, kept}. - v1-v2: wordfreq 1-2 — initial small lists from wordfreq 3.0.2 + Unicode-script whitelist (
foreign,pure_num,no_letter).
License
MIT.
About VocabRadar
This dataset is a VocabRadar project — the vocabulary radar. The VocabRadar browser extension marks up the words you do not know yet while you watch videos or browse the web: definitions in place, translation, bilingual subtitles and annotated subtitles. What you have read can also be on vocabradar.com, which turns it into related exercises and games so the words actually stick.
词频表(110 语)
English | 中文说明
(卡片为单文件双语,中文部分完整对应上方英文说明。)
110 种语言的小型词频表,自建管线产出,可直接当离线词频字典使用:每种语言一个 gzip 压缩的 MessagePack 文件,合计约 13 MB。本词表同时是 vocabradar/WordTranslation 的直接词源(逐词翻译成各语种)。
数据来自统一的 pyicu BreakIterator 分词管线,语料为
FineWeb2 HQ+、
UltraFineWeb L3、
Wikipedia(每语种每来源截断至 1 GiB 文本)。收词采用体积感知的频率双门槛:
fu_w > 1e-6 且 fu_w / word_bytes > 2e-7,打包成 700 个 centibel 频段。
收录规则: 合计源头语料体积 大于 100 MB(104,857,600 字节,1024 进制;各来源
text_bytes 相加,即 meta.json 中的 text_bytes)的语种入选。构建期每来源封顶 1 GiB。
当前修订版:v7(2026-10-26)。 见版本历史。
文件结构
├── README.md
├── meta.json # 数据集元信息(字段见下)
└── data/
└── small_<code>.msgpack.gz # 每语种一个文件,
# 如 small_en.msgpack.gz、small_th.msgpack.gz
meta.json 按语种记录:kept(词表词数)、coverage(词表在语料上的真实覆盖率)、
sources(各来源的 text_bytes / tokens),以及派生字段 text_bytes(合计源头
体积)与 tokens_total。
频段数:全部语种统一 700 段,共享 cBpack 编码(header + band 列表)。详见数据格式。
清洗规则
统一的上游管线(pyicu BreakIterator + 全脚本 Unicode 规则集),各语种一致:
- 规范化:拉丁/希腊/西里尔文种 NFC,其余 NFKC;abjad 文种去元音点(
ar、he、fa、ur、ps、sd、ug等);casefold(tr/az/kk用 dotless-i 特殊处理);ro的 cedilla→comma 修复。 - 剔除规则:
no_letter、numeric、has_digit、domain_tld、diacritic_single、foreign(按语种的 script 白名单)。 - 频率门槛:
fu_w > 1e-6且fu_w / word_bytes > 2e-7;word_bytes为词的 UTF-8 字节数(有空格分词的语言 +1 计入空格代价)。
实现细节见源管线:WordFrequency/scripts/build_wordfreq.py(VocabRadar 数据仓库内)。
词表一览
按语言代码字母序排列。
| code | language | native name | first word | cb | float | words | cumulative coverage |
|---|---|---|---|---|---|---|---|
| af | 南非荷兰语 | Afrikaans | die | 116 | 6.92e-02 | 27,289 | 87.9% |
| am | 阿姆哈拉语 | አማርኛ | እና | 176 | 1.74e-02 | 30,174 | 75.6% |
| ar | 阿拉伯语 | العربية | في | 153 | 2.95e-02 | 34,950 | 78.1% |
| arz | 埃及阿拉伯语 | مصرى | فى | 144 | 3.63e-02 | 12,783 | 79.8% |
| as | 阿萨姆语 | অসমীয়া | আৰু | 162 | 2.40e-02 | 18,601 | 77.9% |
| ast | 阿斯图里亚斯语 | asturianu | de | 119 | 6.46e-02 | 36,867 | 84.2% |
| az | 阿塞拜疆语 | azərbaycan | və | 153 | 2.95e-02 | 38,016 | 80.2% |
| azb | 南阿塞拜疆语 | تۆرکجه | و | 168 | 2.09e-02 | 10,407 | 52.7% |
| ba | 巴什基尔语 | башҡортса | һәм | 171 | 1.95e-02 | 22,247 | 73.8% |
| be | 白俄罗斯语 | беларуская | і | 156 | 2.75e-02 | 26,836 | 71.4% |
| bew | 贝塔维语 | Basa Betawi | yang | 169 | 2.04e-02 | 32,004 | 91.7% |
| bg | 保加利亚语 | български | на | 127 | 5.37e-02 | 23,184 | 77.4% |
| bn | 孟加拉语 | বাংলা | এবং | 187 | 1.35e-02 | 18,147 | 77.6% |
| bo | 藏语 | བོད་ཡིག | པ | 147 | 3.39e-02 | 4,812 | 97.4% |
| bs | 波斯尼亚语 | bosanski | i | 144 | 3.63e-02 | 43,867 | 82.5% |
| ca | 加泰罗尼亚语 | català | de | 122 | 6.03e-02 | 30,554 | 87.0% |
| ce | 车臣语 | нохчийн | а | 149 | 3.24e-02 | 4,772 | 74.1% |
| ceb | 宿务语 | Cebuano | sa | 124 | 5.75e-02 | 12,376 | 87.5% |
| ckb | 中库尔德语 | کوردی | لە | 128 | 5.25e-02 | 23,055 | 77.6% |
| cs | 捷克语 | čeština | a | 153 | 2.95e-02 | 43,516 | 78.7% |
| cy | 威尔士语 | Cymraeg | yn | 133 | 4.68e-02 | 27,914 | 84.9% |
| da | 丹麦语 | dansk | i | 150 | 3.16e-02 | 31,312 | 83.9% |
| de | 德语 | Deutsch | der | 149 | 3.24e-02 | 32,074 | 80.8% |
| dv | 迪维希语 | ދިވެހި | އެވެ | 183 | 1.48e-02 | 22,674 | 81.7% |
| el | 希腊语 | Ελληνικά | και | 151 | 3.09e-02 | 20,531 | 77.2% |
| en | 英语 | English | the | 121 | 6.17e-02 | 25,475 | 90.9% |
| eo | 世界语 | Esperanto | la | 113 | 7.41e-02 | 38,703 | 80.3% |
| es | 西班牙语 | español | de | 114 | 7.24e-02 | 29,488 | 89.4% |
| et | 爱沙尼亚语 | eesti | ja | 151 | 3.09e-02 | 43,564 | 76.0% |
| eu | 巴斯克语 | euskara | eta | 142 | 3.80e-02 | 37,926 | 81.0% |
| fa | 波斯语 | فارسی | و | 140 | 3.98e-02 | 18,812 | 86.3% |
| fi | 芬兰语 | suomi | ja | 148 | 3.31e-02 | 43,242 | 69.4% |
| fil | 他加禄语 | Tagalog | sa | 120 | 6.31e-02 | 25,283 | 91.6% |
| fr | 法语 | français | de | 123 | 5.89e-02 | 30,283 | 88.9% |
| fy | 西弗里西亚语 | Frysk | de | 130 | 5.01e-02 | 32,813 | 83.5% |
| ga | 爱尔兰语 | Gaeilge | an | 137 | 4.27e-02 | 27,106 | 88.2% |
| gl | 加利西亚语 | galego | de | 127 | 5.37e-02 | 31,191 | 86.7% |
| gmh | 中古高地德语 | Mittelhochdeutsch | und | 197 | 1.07e-02 | 35,007 | 86.3% |
| gu | 古吉拉特语 | ગુજરાતી | છે | 133 | 4.68e-02 | 19,297 | 80.5% |
| ha | 豪萨语 | Harshen Hausa | da | 119 | 6.46e-02 | 23,058 | 89.0% |
| he | 希伯来语 | עברית | של | 162 | 2.40e-02 | 40,467 | 80.5% |
| hi | 印地语 | हिन्दी | के | 138 | 4.17e-02 | 14,413 | 86.0% |
| hr | 克罗地亚语 | hrvatski | i | 147 | 3.39e-02 | 45,220 | 81.4% |
| hu | 匈牙利语 | magyar | a | 110 | 7.94e-02 | 39,941 | 74.3% |
| hy | 亚美尼亚语 | հայերեն | է | 140 | 3.98e-02 | 22,345 | 71.0% |
| id | 印度尼西亚语 | Bahasa Indonesia | yang | 155 | 2.82e-02 | 29,234 | 86.3% |
| ig | 伊博语 | Asụsụ Igbo | na | 104 | 9.12e-02 | 23,765 | 87.1% |
| is | 冰岛语 | íslenska | og | 142 | 3.80e-02 | 33,521 | 84.2% |
| it | 意大利语 | italiano | di | 139 | 4.07e-02 | 33,439 | 86.9% |
| ja | 日语 | 日本語 | の | 129 | 5.13e-02 | 27,259 | 88.8% |
| ka | 格鲁吉亚语 | ქართული | და | 148 | 3.31e-02 | 19,548 | 65.9% |
| kk | 哈萨克语 | қазақша | және | 185 | 1.41e-02 | 25,922 | 74.3% |
| km | 高棉语 | ខ្មែរ | បាន | 173 | 1.86e-02 | 12,302 | 89.9% |
| kn | 卡纳达语 | ಕನ್ನಡ | ಮತ್ತು | 172 | 1.91e-02 | 21,850 | 65.1% |
| ko | 韩语 | 한국어 | 년 | 187 | 1.35e-02 | 42,580 | 59.6% |
| ku | 库尔德语 | kurdî | li | 163 | 2.34e-02 | 30,109 | 82.8% |
| ky | 吉尔吉斯语 | кыргызча | жана | 175 | 1.78e-02 | 26,184 | 77.3% |
| la | 拉丁语 | Latina | et | 152 | 3.02e-02 | 41,416 | 81.4% |
| lb | 卢森堡语 | Lëtzebuergesch | an | 162 | 2.40e-02 | 33,684 | 82.2% |
| lo | 老挝语 | ພາສາລາວ | ຂອງ | 158 | 2.63e-02 | 8,165 | 90.6% |
| lt | 立陶宛语 | lietuvių | ir | 152 | 3.02e-02 | 44,180 | 79.3% |
| lv | 拉脱维亚语 | latviešu | un | 151 | 3.09e-02 | 41,008 | 82.8% |
| mg | 马达加斯加语 | Malagasy | ny | 111 | 7.76e-02 | 23,818 | 80.0% |
| mk | 马其顿语 | македонски | на | 125 | 5.62e-02 | 22,246 | 80.1% |
| ml | 马拉雅拉姆语 | മലയാളം | ഒരു | 191 | 1.23e-02 | 19,303 | 52.5% |
| mn | 蒙古语 | монгол | нь | 162 | 2.40e-02 | 23,142 | 83.1% |
| mr | 马拉地语 | मराठी | आणि | 178 | 1.66e-02 | 20,174 | 75.3% |
| ms | 马来语 | Bahasa Melayu | yang | 154 | 2.88e-02 | 26,033 | 89.9% |
| mt | 马耳他语 | Malti | l | 142 | 3.80e-02 | 27,749 | 90.3% |
| my | 缅甸语 | မြန်မာ | ကို | 163 | 2.34e-02 | 8,704 | 92.2% |
| nb | 书面挪威语 | norsk bokmål | og | 149 | 3.24e-02 | 28,715 | 87.4% |
| ne | 尼泊尔语 | नेपाली | र | 164 | 2.29e-02 | 19,634 | 80.1% |
| new | 尼瓦尔语 | नेपाल भाषा | thumb | 294 | 1.15e-03 | 2,894 | 2.0% |
| nl | 荷兰语 | Nederlands | de | 122 | 6.03e-02 | 29,041 | 84.6% |
| nn | 新挪威语 | norsk nynorsk | i | 140 | 3.98e-02 | 31,299 | 82.1% |
| no | 挪威语 | norsk | i | 143 | 3.72e-02 | 36,870 | 76.3% |
| nrm | 诺曼语 | Normaund | de | 144 | 3.63e-02 | 37,834 | 65.2% |
| oc | 奥克语 | occitan | de | 115 | 7.08e-02 | 36,968 | 84.0% |
| or | 奥里亚语 | ଓଡ଼ିଆ | ଓ | 192 | 1.20e-02 | 18,890 | 81.3% |
| pa | 旁遮普语 | ਪੰਜਾਬੀ | ਹੈ | 156 | 2.75e-02 | 15,494 | 87.4% |
| pl | 波兰语 | polski | w | 141 | 3.89e-02 | 44,785 | 78.6% |
| pnb | 西旁遮普语 | پنجابی | دے | 145 | 3.55e-02 | 19,856 | 83.2% |
| ps | 普什图语 | پښتو | د | 105 | 8.91e-02 | 19,349 | 89.3% |
| pt | 葡萄牙语 | português | de | 127 | 5.37e-02 | 30,823 | 88.7% |
| ro | 罗马尼亚语 | română | de | 133 | 4.68e-02 | 36,662 | 85.3% |
| ru | 俄语 | русский | в | 142 | 3.80e-02 | 28,737 | 73.3% |
| sd | 信德语 | سنڌي | جي | 134 | 4.57e-02 | 19,326 | 88.4% |
| sh | 塞尔维亚-克罗地亚语 | srpskohrvatski | u | 146 | 3.47e-02 | 43,563 | 79.3% |
| si | 僧伽罗语 | සිංහල | සහ | 214 | 7.24e-03 | 20,592 | 78.5% |
| sk | 斯洛伐克语 | slovenčina | a | 152 | 3.02e-02 | 44,353 | 79.9% |
| sl | 斯洛文尼亚语 | slovenščina | je | 149 | 3.24e-02 | 43,561 | 82.4% |
| so | 索马里语 | Soomaaliga | oo | 154 | 2.88e-02 | 33,472 | 88.8% |
| sq | 阿尔巴尼亚语 | shqip | të | 119 | 6.46e-02 | 34,083 | 88.1% |
| sr | 塞尔维亚语 | српски | је | 155 | 2.82e-02 | 22,537 | 59.8% |
| sv | 瑞典语 | svenska | och | 151 | 3.09e-02 | 32,738 | 81.7% |
| sw | 斯瓦希里语 | Kiswahili | ya | 122 | 6.03e-02 | 24,555 | 88.9% |
| ta | 泰米尔语 | தமிழ் | ஒரு | 207 | 8.51e-03 | 19,145 | 61.7% |
| te | 泰卢固语 | తెలుగు | నుండి | 205 | 8.91e-03 | 19,393 | 67.3% |
| tg | 塔吉克语 | тоҷикӣ | дар | 147 | 3.39e-02 | 21,633 | 77.1% |
| th | 泰语 | ไทย | ที่ | 162 | 2.40e-02 | 10,648 | 88.1% |
| tr | 土耳其语 | Türkçe | ve | 156 | 2.75e-02 | 43,447 | 74.3% |
| tt | 塔塔尔语 | татарча | һәм | 193 | 1.17e-02 | 12,504 | 68.5% |
| ug | 维吾尔语 | ئۇيغۇرچە | ۋە | 183 | 1.48e-02 | 25,287 | 76.0% |
| uk | 乌克兰语 | українська | в | 172 | 1.91e-02 | 27,817 | 73.8% |
| ur | 乌尔都语 | اردو | کے | 142 | 3.80e-02 | 16,966 | 89.3% |
| uz | 乌兹别克语 | oʻzbekcha | va | 173 | 1.86e-02 | 32,259 | 54.6% |
| vi | 越南语 | Tiếng Việt | là | 186 | 1.38e-02 | 12,420 | 91.9% |
| war | 瓦瑞语 | Winaray | nga | 123 | 5.89e-02 | 23,655 | 84.0% |
| yi | 意第绪语 | ייִדיש | די | 142 | 3.80e-02 | 21,665 | 85.9% |
| zh | 中文 | 中文 | 的 | 137 | 4.27e-02 | 35,707 | 90.8% |
| 合计 | 110 种语言 | — | — | — | — | 2,997,108 | — |
(榜首词 = 最高频词条,快速确认语种正确。cb = 榜首词 centibel 频段,float = 榜首词 token 占比。词数 = 词表收录词条数。累计覆盖率 = Σ n_b × 10^(-b/100)。)
数据格式
每个文件是 gzip 压缩的 MessagePack 数组,结构为 [header, band_0..band_699]。每个
band 装有词频四舍五入到该 centibel 的词(约 10^(-b/100) token 概率)。
import gzip, msgpack
with gzip.open('data/small_en.msgpack.gz', 'rb') as f:
obj = msgpack.unpackb(f.read(), raw=False)
header, *bands = obj
# header == {'format': 'cB', 'version': 1, 'lang': 'en',
# 'sources': ['ultrafineweb_l3', 'wikipedia']}
words = [(w, 10 ** (-b / 100)) for b, band in enumerate(bands) for w in band]
# words[0] ≈ ('the', ...) — 英语榜首词
版本历史
- v7(2026-10-26):自建 pyicu 管线整体重建(单一来源,不再合并 wordfreq)。统一
700 频段,收词门槛
fu_w > 1e-6且fu_w / word_bytes > 2e-7。收录规则:合计源头 text_bytes > 100 MB,共 110 语 (剔除simple简明英语:维基站点代码,非语言码)。 语言代码采用 ISO 639-3 的fil(他加禄语/菲律宾语合并为一个代码),不用旧代码tl。修复ce、ba、tt、azb、ug、pnb、sd、arz、skr的书写系统白名单(此前其非拉丁词被foreign全拒, 只剩拉丁残渣)。 跨来源词频合并改用全局体积分母(缺席来源按 0 频计);此前的逐词归一化使小来源 独有词频率虚高(如bew词表覆盖率估算达 110%)。 - v6(合并于 2026-10-26):将 wordfreq v4(42 语)合并入 WordFrequency v5。重叠语种使用 wf_v4 文件 + 元数据,28 个 v5 独有语种保留,th 强制保留 v5 文件,3 个 wf_v4 独有语种恢复(fil、is、sh)。
- v5(2026-10-26):WordFrequency 自建 pyicu BreakIterator 语料(wiki + ultra + fw2),76 语(阈值 10^-7、700 频段)。
- v4(2026-10-12):wordfreq v4 (HF) —— 新增
digit_mix、possessive、mark_only、diacritic_single、stroke_single、jamo_single,43 语,累计计数。发布于 https://huggingface.co/datasets/vocabradar/wordfreq。 - v3(2026-10-10):wordfreq v3 —— 新增
numeric规则(数字起头代码、中文数字与数字短语)。meta.json重组为languages[lang] = {total, removed, kept}。 - v1-v2:wordfreq 1-2 —— wordfreq 3.0.2 初始 small 列表 + Unicode 文字白名单清洗(
foreign、pure_num、no_letter)。
许可证
MIT。
关于 VocabRadar
这项工作是 VocabRadar(词汇雷达)的工作:VocabRadar 浏览器扩展 让你在看视频、刷网页时把还不认识的生词就地标注出来 —— 释义、翻译、双语字幕、注释字幕; 看过的内容还能在 vocabradar.com,自动生成相关习题与游戏,把词真正记住。
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