metadata
configs:
- config_name: main_data
data_files: corpus_level.csv
default: true
- config_name: tokenized_data
data_files: corpus_tokenized.csv
- config_name: sources
data_files: sources.csv
- config_name: sentences_only
data_files: corpus.csv
license: cc-by-sa-4.0
license_name: license
license_link: LICENSE
size_categories:
- 10M<n<100M
Summary
This dataset contains Japanese sentences, obtained from various online sources and processed in a way to make them more fit as example sentences for L2 Japanese (Japanese as a second language) learners.
Data Fields
In the main_data configuration:
sentence(str): a Japanese sentence.level(str): JLPT level of the sentence (attributed by a text classifier. Please keep in mind that the model has many limitations.)
In the tokenized_data configuration:
sentence(str): a Japanese sentence.sentence_tokenized(list): list of the sentence's tokens as tokenized byja_ginza.sentence_tokenized_lemma(list): same as above, but all tokens are lemmatized.
In the sentences_only configuration:
- sentence (str): a Japanese sentence.
In the sources.csv file:
source: from this element's index and the next, sentences are found insource.
Sources
- Levels 0~4 of the Japanese Web as Corpus 1.0. jpWaC page
- Tatoeba sentences downloaded on 20/12/2023. Tatoeba Project
- Wikipedia dump downloaded on 01/12/2023. jawiki-20231201-pages-articles-multistream.xml.bz2
Dataset construction
Processing filters:
- Entries with multiple sentences have been expanded
- Removal of duplicates
- No more than 20% punctuation
- No more than 20% numbers Additionally, processing applied only to Wikipedia sentences:
- No Latin/Russian/Arabic characters
- End in punctuation, and the last word is an adjective, verb, or auxilliary
Some Stats
- 97% of sentences are from Japanese Wikipedia
- The average sentence length is 26 tokens
- The average Kanji ratio is 37%
Licenses
The same licenses as the original works apply [WIP]
Cite
[WIP]