--- dataset_info: - config_name: 200k features: - name: text dtype: string splits: - name: train num_bytes: 5315275997 num_examples: 200000 download_size: 2841685460 dataset_size: 5315275997 - config_name: 400m features: - name: text dtype: string splits: - name: train num_bytes: 24693584215 num_examples: 4000000 download_size: 14134783813 dataset_size: 24693584215 - config_name: 4m features: - name: text dtype: string splits: - name: train num_bytes: 24693584215 num_examples: 4000000 download_size: 14134783813 dataset_size: 24693584215 configs: - config_name: 200k data_files: - split: train path: 200k/train-* - config_name: 400m data_files: - split: train path: 400m/train-* - config_name: 4m data_files: - split: train path: 4m/train-* --- # Washi (a kind of traditional Japanese paper) This dataset is sampled from a subset of ja (Japanese) sourced from [uonlp/CulturaX](https://huggingface.co/datasets/uonlp/CulturaX). Utilizing DSIR (Data Selection for Language Models via Importance Resampling), documents closest to the Japanese subset of csebuetnlp/xlsum and systemk/aozorabunko_chunked (cleaned data from the Aozora Bunko collection, containing modern Japanese literature in the public domain) were selected, comprising approximately 5% of the corpus. We have noted a qualitative leap in the quantity of low-quality Japanese datasets with the release of several multilingual datasets. However, traditional data cleaning methods for Japanese, based on blacklists and rules, continue to produce significant noise. We speculate that, particularly in cases where fine-tune from predominantly English-focused Large Language Model (LLM), the quality of data outweighs its quantity. Hence, we have created this dataset to validate this hypothesis. ## Dataset Details ### Dataset Description - **Language(s) (NLP):** Japanese - **License:** ocd-by / cc0-1.0 ### License Information The licence terms for Washi strictly follows uonlp/CulturaX. Please refer to both below licenses when using this dataset. - [mC4 license](https://huggingface.co/datasets/allenai/c4#license) - [OSCAR license](https://huggingface.co/datasets/oscar-corpus/OSCAR-2301#licensing-information) ## Uses ### Direct Use [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Dataset Structure [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Data Collection and Processing [More Information Needed] #### Who are the source data producers? [More Information Needed] ### Annotations [optional] #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] #### Personal and Sensitive Information [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]