Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
Luxembourgish
Size:
10K - 100K
License:
File size: 1,038 Bytes
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---
license: cc-by-4.0
task_categories:
- text-classification
language:
- lb
size_categories:
- 10K<n<100K
source_datasets:
- Luxembourg Online Dictionary (LOD)
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
- config_name: LETZ-SYN # Example: default
data_files:
- split: train
path: train.json
- split: validation
path: val.json
- split: test
path: test.json
- config_name: LETZ-WoT # Example: default
data_files:
- split: train
path: train.json
- split: validation
path: val.json
- split: test
path: test.json
---
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. |