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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 ({'word', 'freq'}) and 2 missing columns ({'ISO code', 'Language Name'}). This happened while the csv dataset builder was generating data using hf://datasets/chrisjay/ratman-stopword-lists-for-african-languages/af_frequency_list.csv (at revision 72de778bde0f0b8f1d7cce7a390e7ba1b5cc961f) 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast freq: int64 word: string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 475 to {'ISO code': Value(dtype='string', id=None), 'Language Name': Value(dtype='string', id=None)} 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 1321, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single raise DatasetGenerationCastError.from_cast_error( 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 ({'word', 'freq'}) and 2 missing columns ({'ISO code', 'Language Name'}). This happened while the csv dataset builder was generating data using hf://datasets/chrisjay/ratman-stopword-lists-for-african-languages/af_frequency_list.csv (at revision 72de778bde0f0b8f1d7cce7a390e7ba1b5cc961f) 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)
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ISO code
string | Language Name
string |
---|---|
adh
|
Dhopadhola
|
af
|
Afrikaans
|
alz
|
Alur
|
am
|
Amharic
|
anu
|
Anywak
|
bxk
|
Lubukusu
|
cce
|
Cicopi
|
de
|
German
|
dag
|
Dagbani/Dagbanli
|
dga
|
Dagaare
|
dje
|
Zarma
|
ee
|
Ewe
|
en
|
English
|
ff
|
Fulfulde
|
fr
|
French
|
gjn
|
Gonja
|
gur
|
Gurene
|
guz
|
Ekegusii
|
ha
|
Hausa
|
kam
|
Kikamba
|
kdj
|
Ngakarimojong
|
keo
|
Kakwa
|
ki
|
Gikuyu
|
kln
|
Kalenjin
|
kpz
|
Sabinyi
|
kr
|
Kanuri
|
laj
|
Leblango
|
lgg
|
Lugbarati
|
lgg-official
|
Lugbarati (Official)
|
lg
|
Luganda
|
lko
|
Olukhayo
|
lsm
|
Lusamia
|
luc
|
Aringati
|
luo
|
Dholuo
|
lwg
|
Oluwanga
|
mas
|
Maa
|
mer
|
Kimîîru
|
mhi
|
Ma'di
|
myx
|
Lumasaaba
|
nle
|
Olunyala
|
nr
|
isiNdebele
|
nso
|
Sepedi
|
nuj
|
Lunyole
|
nyn
|
Chichewa
|
nyn
|
Runyankore
|
nyu
|
Chinyungwe
|
om
|
Afan Oromo
|
pt
|
Portuguese
|
rw
|
Kinyarwanda
|
so
|
Somali
|
ss
|
siSwati
|
st
|
Sesotho
|
sw
|
Kiswahili
|
teo
|
Ateso
|
tn
|
Setswana
|
toh
|
Gitonga
|
tsc
|
Xitswa
|
ts
|
Xitsonga
|
ttj
|
Rutooro
|
tuv
|
Ng'aturkana
|
ve
|
Tshivenda
|
xh
|
isiXhosa
|
xog
|
Lusoga
|
yo
|
Yoruba
|
zne
|
Zande
|
zu
|
isiZulu
|
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
Dataset Card for Stopword Lists for African Languages
Dataset Summary
Context:
Some words, like “the” or “and” in English, are used a lot in speech and writing. For most Natural Language Processing applications, you will want to remove these very frequent words. This is usually done using a list of “stopwords” which has been complied by hand.
Content:
This project uses the source texts provided by the African Storybook Project as a corpus and provides a number of tools to extract frequency lists and lists of stopwords from this corpus for the 60+ languages covered by ASP.
Included in this dataset are the following languages:
- Afrikaans: stoplist and word frequency
- Hausa: stoplist and word frequency
- Lugbarati: word frequency only
- Lugbarati (Official): word frequency only
- Somali: stoplist and word frequency
- Sesotho: stoplist and word frequency
- Kiswahili: stoplist and word frequency
- Yoruba: stoplist and word frequency
- isiZulu: stoplist and word frequency
Files are named using the language’s ISO code. For each language, code.txt is the list of stopwords, and code_frequency_list.txt is word frequency information. A list of ISO codes the the languages associated with them may be found in ISO_codes.csv.
Acknowledgements:
This project therefore attempts to fill in the gap in language coverage for African language stoplists by using the freely-available and open-licensed ASP Source project as a corpus. Dual-licensed under CC-BY and Apache-2.0 license. Compiled by Liam Doherty. More information and the scripts used to generate these files are available here.
Inspiration:
This dataset is mainly helpful for use during NLP analysis, however there may some interesting insights in the data.
- What qualities do stopwords share across languages? Given a novel language, could you predict what its stopwords should be?
- What stopwords are shared across languages?
- Often, related languages will have words with the same meaning and similar spellings. Can you automatically identify any of these pairs of words?
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