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| dataset_info: | |
| features: | |
| - name: passage | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 18979214734 | |
| num_examples: 88328203 | |
| download_size: 1025261393 | |
| dataset_size: 18979214734 | |
| # `chinese_clean_passages_80m` | |
| 包含**8千余万**(88328203)个**纯净**中文段落,不包含任何字母、数字。\ | |
| Containing more than **80 million pure \& clean** Chinese passages, without any letters/digits/special tokens. | |
| 文本长度大部分介于50\~200个汉字之间。\ | |
| The passage length is approximately 50\~200 Chinese characters. | |
| 通过`datasets.load_dataset()`下载数据,会产生38个大小约340M的数据包,共约12GB,所以请确保有足够空间。\ | |
| Downloading the dataset will result in 38 data shards each of which is about 340M and 12GB in total. Make sure there's enough space in your device:) | |
| ``` | |
| >>> | |
| passage_dataset = load_dataset('beyond/chinese_clean_passages_80m') | |
| <<< | |
| Downloading data: 100%|█| 341M/341M [00:06<00:00, 52.0MB | |
| Downloading data: 100%|█| 342M/342M [00:06<00:00, 54.4MB | |
| Downloading data: 100%|█| 341M/341M [00:06<00:00, 49.1MB | |
| Downloading data: 100%|█| 341M/341M [00:14<00:00, 23.5MB | |
| Downloading data: 100%|█| 341M/341M [00:10<00:00, 33.6MB | |
| Downloading data: 100%|█| 342M/342M [00:07<00:00, 43.1MB | |
| ...(38 data shards) | |
| ``` | |
| 本数据集被用于训练[GENIUS模型中文版](https://huggingface.co/spaces/beyond/genius),如果这个数据集对您的研究有帮助,请引用以下论文。 | |
| This dataset is created for the pre-training of [GENIUS model](https://huggingface.co/spaces/beyond/genius), if you find this dataset useful, please cite our paper. | |
| ``` | |
| @article{guo2022genius, | |
| title={GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation}, | |
| author={Guo, Biyang and Gong, Yeyun and Shen, Yelong and Han, Songqiao and Huang, Hailiang and Duan, Nan and Chen, Weizhu}, | |
| journal={arXiv preprint arXiv:2211.10330}, | |
| year={2022} | |
| } | |
| ``` | |
| --- | |
| Acknowledgment:\ | |
| 数据是基于[CLUE中文预训练语料集](https://github.com/CLUEbenchmark/CLUE)进行处理、过滤得到的。\ | |
| This dataset is processed/filtered from the [CLUE pre-training corpus](https://github.com/CLUEbenchmark/CLUE). | |
| 原始数据集引用: | |
| ``` | |
| @misc{bright_xu_2019_3402023, | |
| author = {Bright Xu}, | |
| title = {NLP Chinese Corpus: Large Scale Chinese Corpus for NLP }, | |
| month = sep, | |
| year = 2019, | |
| doi = {10.5281/zenodo.3402023}, | |
| version = {1.0}, | |
| publisher = {Zenodo}, | |
| url = {https://doi.org/10.5281/zenodo.3402023} | |
| } | |
| ``` | |