Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
semantic-similarity-classification
Size:
100K - 1M
License:
Update README.md
Browse files
README.md
CHANGED
@@ -1,5 +1,6 @@
|
|
1 |
-
# XL-
|
2 |
-
Huggingface dataset for the paper [https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf](https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf).
|
|
|
3 |
|
4 |
## Languages
|
5 |
XL-WiC provides training data in:
|
@@ -22,7 +23,7 @@ and dev and test data in:
|
|
22 |
- ja (Japanesse)
|
23 |
- ko (Korean)
|
24 |
|
25 |
-
##
|
26 |
When loading one of the XL-WSD datasets one has to specify the training language and the target language (on which dev and test will be performed).
|
27 |
For example, we can load the dataset having English as training language and Italian as target language as follows:
|
28 |
```
|
|
|
1 |
+
# XL-WiC
|
2 |
+
Huggingface dataset for the XL-WiC paper [https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf](https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf).
|
3 |
+
Please refer to the official [website](https://pilehvar.github.io/xlwic/) for more information.
|
4 |
|
5 |
## Languages
|
6 |
XL-WiC provides training data in:
|
|
|
23 |
- ja (Japanesse)
|
24 |
- ko (Korean)
|
25 |
|
26 |
+
## Configurations
|
27 |
When loading one of the XL-WSD datasets one has to specify the training language and the target language (on which dev and test will be performed).
|
28 |
For example, we can load the dataset having English as training language and Italian as target language as follows:
|
29 |
```
|