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