参考:
en
使用以下命令在 TFDS 中加载此数据集:
ds = tfds.load('huggingface:c4/en')
- 说明:
A colossal, cleaned version of Common Crawl's web crawl corpus.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is the processed version of Google's C4 dataset by AllenAI.
- 许可:无已知许可
- 版本:0.0.0
- 拆分:
拆分 | 样本 |
---|---|
'train' |
364868892 |
'validation' |
364608 |
- 特征:
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"timestamp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
en.noblocklist
使用以下命令在 TFDS 中加载此数据集:
ds = tfds.load('huggingface:c4/en.noblocklist')
- 说明:
A colossal, cleaned version of Common Crawl's web crawl corpus.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is the processed version of Google's C4 dataset by AllenAI.
- 许可:无已知许可
- 版本:0.0.0
- 拆分:
拆分 | 样本 |
---|---|
'train' |
393391519 |
'validation' |
393226 |
- 特征:
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"timestamp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
realnewslike
使用以下命令在 TFDS 中加载此数据集:
ds = tfds.load('huggingface:c4/realnewslike')
- 说明:
A colossal, cleaned version of Common Crawl's web crawl corpus.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is the processed version of Google's C4 dataset by AllenAI.
- 许可:无已知许可
- 版本:0.0.0
- 拆分:
拆分 | 样本 |
---|---|
'train' |
13799838 |
'validation' |
13863 |
- 特征:
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"timestamp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
en.noclean
使用以下命令在 TFDS 中加载此数据集:
ds = tfds.load('huggingface:c4/en.noclean')
- 说明:
A colossal, cleaned version of Common Crawl's web crawl corpus.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is the processed version of Google's C4 dataset by AllenAI.
- 许可:无已知许可
- 版本:0.0.0
- 拆分:
拆分 | 样本 |
---|---|
'train' |
1063805381 |
'validation' |
1065029 |
- 特征:
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"timestamp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}