---
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)
```

---
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).