参考：
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:e2e_nlg')
- 说明：
The E2E dataset is used for training end-to-end, data-driven natural language generation systems in the restaurant domain, which is ten times bigger than existing, frequently used datasets in this area.
The E2E dataset poses new challenges:
(1) its human reference texts show more lexical richness and syntactic variation, including discourse phenomena;
(2) generating from this set requires content selection. As such, learning from this dataset promises more natural, varied and less template-like system utterances.
E2E is released in the following paper where you can find more details and baseline results:
https://arxiv.org/abs/1706.09254
- 许可：无已知许可
- 版本：0.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
4693 |
'train' |
42061 |
'validation' |
4672 |
- 特征：
{
"meaning_representation": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"human_reference": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}