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README.md
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@@ -18,6 +18,24 @@ Containing more than **80 million pure \& clean** Chinese passages, without any
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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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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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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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