parquet-converter
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Update parquet files
Browse files- README.md +0 -67
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README.md
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---
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dataset_info:
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features:
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- name: passage
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dtype: string
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splits:
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- name: train
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num_bytes: 18979214734
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num_examples: 88328203
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download_size: 1025261393
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dataset_size: 18979214734
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---
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# `chinese_clean_passages_80m`
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包含**8千余万**(88328203)个**纯净**中文段落,不包含任何字母、数字。\
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Containing more than **80 million pure \& clean** Chinese passages, without any letters/digits/special tokens.
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文本长度大部分介于50\~200个汉字之间。\
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The passage length is approximately 50\~200 Chinese characters.
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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。\
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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:)
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```
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>>>
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passage_dataset = load_dataset('beyond/chinese_clean_passages_80m')
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<<<
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Downloading data: 100%|█| 341M/341M [00:06<00:00, 52.0MB
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Downloading data: 100%|█| 342M/342M [00:06<00:00, 54.4MB
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Downloading data: 100%|█| 341M/341M [00:06<00:00, 49.1MB
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Downloading data: 100%|█| 341M/341M [00:14<00:00, 23.5MB
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Downloading data: 100%|█| 341M/341M [00:10<00:00, 33.6MB
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Downloading data: 100%|█| 342M/342M [00:07<00:00, 43.1MB
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...(38 data shards)
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```
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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。
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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.
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```
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@article{guo2022genius,
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title={GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation},
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author={Guo, Biyang and Gong, Yeyun and Shen, Yelong and Han, Songqiao and Huang, Hailiang and Duan, Nan and Chen, Weizhu},
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journal={arXiv preprint arXiv:2211.10330},
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year={2022}
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}
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```
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---
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Acknowledgment:\
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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。\
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This dataset is processed/filtered from the [CLUE pre-training corpus](https://github.com/CLUEbenchmark/CLUE).
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原始数据集引用:
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```
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@misc{bright_xu_2019_3402023,
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author = {Bright Xu},
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title = {NLP Chinese Corpus: Large Scale Chinese Corpus for NLP },
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month = sep,
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year = 2019,
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doi = {10.5281/zenodo.3402023},
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version = {1.0},
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publisher = {Zenodo},
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url = {https://doi.org/10.5281/zenodo.3402023}
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}
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```
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