Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
natural-language-inference
Languages:
Croatian
Size:
1K - 10K
ArXiv:
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
The COPA-HR dataset (Choice of plausible alternatives in Croatian) is a translation
|
| 2 |
of the English COPA dataset (https://people.ict.usc.edu/~gordon/copa.html) by following the
|
| 3 |
XCOPA dataset translation methodology (https://arxiv.org/abs/2005.00333). The dataset consists of 1000 premises
|
|
@@ -11,9 +26,9 @@ following features: 'premise', 'choice1', 'choice2', 'label', 'question', 'chang
|
|
| 11 |
If you use the dataset in your work, please cite
|
| 12 |
```
|
| 13 |
@article{DBLP:journals/corr/abs-2104-09243,
|
| 14 |
-
author = {Nikola Ljube
|
| 15 |
Davor Lauc},
|
| 16 |
-
title = {BERTi{
|
| 17 |
Montenegrin and Serbian},
|
| 18 |
journal = {CoRR},
|
| 19 |
volume = {abs/2104.09243},
|
|
|
|
| 1 |
+
---
|
| 2 |
+
languages:
|
| 3 |
+
- hr
|
| 4 |
+
|
| 5 |
+
task_categories:
|
| 6 |
+
- text-classification
|
| 7 |
+
|
| 8 |
+
task_ids:
|
| 9 |
+
- natural-language-inference
|
| 10 |
+
- textual-entailment
|
| 11 |
+
- causal-reasoning
|
| 12 |
+
- commonsense-reasoning
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
---
|
| 16 |
The COPA-HR dataset (Choice of plausible alternatives in Croatian) is a translation
|
| 17 |
of the English COPA dataset (https://people.ict.usc.edu/~gordon/copa.html) by following the
|
| 18 |
XCOPA dataset translation methodology (https://arxiv.org/abs/2005.00333). The dataset consists of 1000 premises
|
|
|
|
| 26 |
If you use the dataset in your work, please cite
|
| 27 |
```
|
| 28 |
@article{DBLP:journals/corr/abs-2104-09243,
|
| 29 |
+
author = {Nikola Ljube\\v{s}i\\'{c} and
|
| 30 |
Davor Lauc},
|
| 31 |
+
title = {BERTi{\\'{c}} - The Transformer Language Model for Bosnian, Croatian,
|
| 32 |
Montenegrin and Serbian},
|
| 33 |
journal = {CoRR},
|
| 34 |
volume = {abs/2104.09243},
|