Commit
•
5e66c32
1
Parent(s):
fdc5c15
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,7 +10,7 @@ task_categories:
|
|
| 10 |
- text-generation
|
| 11 |
---
|
| 12 |
|
| 13 |
-
# Dataset Card for
|
| 14 |
|
| 15 |
- **formal url:** https://www.luge.ai/#/luge/dataDetail?id=9
|
| 16 |
|
|
@@ -28,7 +28,7 @@ AdvertiseGen以商品网页的标签与文案的信息对应关系为基础构
|
|
| 28 |
|
| 29 |
### Supported Tasks and Leaderboards
|
| 30 |
|
| 31 |
-
The
|
| 32 |
|
| 33 |
### Languages
|
| 34 |
|
|
@@ -47,53 +47,6 @@ An example of "train" looks as follows:
|
|
| 47 |
}
|
| 48 |
```
|
| 49 |
|
| 50 |
-
## Dataset Creation
|
| 51 |
-
|
| 52 |
-
### Curation Rationale
|
| 53 |
-
|
| 54 |
-
[More Information Needed]
|
| 55 |
-
|
| 56 |
-
### Source Data
|
| 57 |
-
|
| 58 |
-
#### Initial Data Collection and Normalization
|
| 59 |
-
|
| 60 |
-
[More Information Needed]
|
| 61 |
-
|
| 62 |
-
#### Who are the source language producers?
|
| 63 |
-
|
| 64 |
-
[More Information Needed]
|
| 65 |
-
|
| 66 |
-
### Annotations
|
| 67 |
-
|
| 68 |
-
#### Annotation process
|
| 69 |
-
|
| 70 |
-
[More Information Needed]
|
| 71 |
-
|
| 72 |
-
#### Who are the annotators?
|
| 73 |
-
|
| 74 |
-
[More Information Needed]
|
| 75 |
-
|
| 76 |
-
### Personal and Sensitive Information
|
| 77 |
-
|
| 78 |
-
[More Information Needed]
|
| 79 |
-
|
| 80 |
-
## Considerations for Using the Data
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
### Discussion of Biases
|
| 84 |
-
|
| 85 |
-
[More Information Needed]
|
| 86 |
-
|
| 87 |
-
### Other Known Limitations
|
| 88 |
-
|
| 89 |
-
The `alpaca` data is generated by a language model (`text-davinci-003`) and inevitably contains some errors or biases. We encourage users to use this data with caution and propose new methods to filter or improve the imperfections.
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
## Additional Information
|
| 93 |
-
|
| 94 |
-
### Dataset Curators
|
| 95 |
-
|
| 96 |
-
[More Information Needed]
|
| 97 |
|
| 98 |
### Citation Information
|
| 99 |
数据集引用
|
|
@@ -102,7 +55,3 @@ The `alpaca` data is generated by a language model (`text-davinci-003`) and inev
|
|
| 102 |
```
|
| 103 |
Shao, Zhihong, et al. "Long and Diverse Text Generation with Planning-based Hierarchical Variational Model." Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
|
| 104 |
```
|
| 105 |
-
|
| 106 |
-
### Contributions
|
| 107 |
-
|
| 108 |
-
[More Information Needed]
|
|
|
|
| 10 |
- text-generation
|
| 11 |
---
|
| 12 |
|
| 13 |
+
# Dataset Card for AdvertiseGen
|
| 14 |
|
| 15 |
- **formal url:** https://www.luge.ai/#/luge/dataDetail?id=9
|
| 16 |
|
|
|
|
| 28 |
|
| 29 |
### Supported Tasks and Leaderboards
|
| 30 |
|
| 31 |
+
The dataset designed for generate e-commerce advertise.
|
| 32 |
|
| 33 |
### Languages
|
| 34 |
|
|
|
|
| 47 |
}
|
| 48 |
```
|
| 49 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 50 |
|
| 51 |
### Citation Information
|
| 52 |
数据集引用
|
|
|
|
| 55 |
```
|
| 56 |
Shao, Zhihong, et al. "Long and Diverse Text Generation with Planning-based Hierarchical Variational Model." Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
|
| 57 |
```
|
|
|
|
|
|
|
|
|
|
|
|