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chrisjay
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ratman-stopword-lists-for-african-languages

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The dataset generation failed because of a cast error
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)

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.

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
End of preview.

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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This dataset was shared by @rtatman

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