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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 51355991596 |
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num_examples: 15930958 |
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download_size: 29126915011 |
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dataset_size: 51355991596 |
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language: |
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- ja |
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- en |
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- code |
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size_categories: |
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- 10M<n<100M |
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license: apache-2.0 |
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--- |
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# JetCopper-10B |
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## Description |
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JetCopper-10B was created by extracting a portion of the data after cleaning, filtering, and deduplicating the following datasets. |
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* The japanese subset of [C4](https://huggingface.co/datasets/allenai/c4) |
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* The japanese subset of [CC-100](https://data.statmt.org/cc-100) |
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* The japanese subset of [OSCAR-2301](https://huggingface.co/datasets/oscar-corpus/OSCAR-2301) |
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* The japanese subset of [HPLT Datasets v1.2](https://hplt-project.org/datasets/v1.2) |
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* [wiki40b-ja](https://huggingface.co/datasets/range3/wiki40b-ja) |
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This dataset was used to pre-train [Contrail-200m-64k](https://huggingface.co/sudy-super/Contrail-200m-64k) when we participated in [LOCAL AI HACKATHON #000](https://imminent-land-e64.notion.site/000-2024-04-01-8b9b0ce5c2454002ac8ecdc6311e3a49). |
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## The number of tokens (Using tokenizer of [calm2-chat](https://huggingface.co/cyberagent/calm2-7b-chat)) |
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| Language | The number of tokens | |
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| --- | --- | |
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| Japanese | 4.7b | |
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| English | 5b | |
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| Code | 0.9b | |
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## NOTE |
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This dataset has not passed sentence end boundary determination or Perplexity Filtering, so there is room for improvement in quality. |
