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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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--- |
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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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