Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
Luxembourgish
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
CHANGED
@@ -6,4 +6,17 @@ language:
|
|
6 |
- lb
|
7 |
size_categories:
|
8 |
- 10K<n<100K
|
9 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
6 |
- lb
|
7 |
size_categories:
|
8 |
- 10K<n<100K
|
9 |
+
source_datasets:
|
10 |
+
- Luxembourg Online Dictionary (LOD)
|
11 |
+
configs: # Optional. This can be used to pass additional parameters to the dataset loader, such as `data_files`, `data_dir`, and any builder-specific parameters
|
12 |
+
- config_name: default # Example: default
|
13 |
+
data_files:
|
14 |
+
- split: train
|
15 |
+
path: train.json
|
16 |
+
- split: validation
|
17 |
+
path: val.json
|
18 |
+
- split: test
|
19 |
+
path: test.json
|
20 |
+
---
|
21 |
+
|
22 |
+
The dataset for *L*uxembourgish *E*ntailment-based *T*opic classification via *Z*ero-shot learning (*LETZ*) can be used to adapt language models to zero-shot classification in Luxembourgish. It leverages data from the [**Luxembourg Online Dictionary**](https://lod.lu) to provide relevant topic classification examples in Luxembourgish, a low-resource language.
|