README.md

---
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.