A newer version of the Gradio SDK is available:
5.49.1
metadata
title: Semantic Evaluation of Multilingual D2T
emoji: ⚖️
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 5.37.0
python_version: 3.12
app_file: app.py
suggested_hardware: cpu-basic
models:
- MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
- WilliamSotoM/MonoLR_cym_Latn_PR
- WilliamSotoM/MonoLR_eng_Latn_PR
- WilliamSotoM/MonoLR_gle_Latn_PR
- WilliamSotoM/MonoLR_mlt_Latn_PR
- WilliamSotoM/MonoLR_rus_Cyrl_PR
- WilliamSotoM/MonoLR_xho_Latn_PR
preload_from_hub:
- MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
- WilliamSotoM/MonoLR_cym_Latn_PR
- WilliamSotoM/MonoLR_eng_Latn_PR
- WilliamSotoM/MonoLR_gle_Latn_PR
- WilliamSotoM/MonoLR_mlt_Latn_PR
- WilliamSotoM/MonoLR_rus_Cyrl_PR
- WilliamSotoM/MonoLR_xho_Latn_PR
pinned: false
Semantic Evaluation of Multilingual D2T
This Hugging Face Space allows users to obtain Semantic Precision, Recall, and F1 scores of RDF-to-Text generation tasks in multiple languages.
This space relies on the Monolingual LoRA adapter from Semantic Evaluation of Multilingual Data-to-Text Generation via NLI Fine-Tuning: Precision, Recall and F1 scores available on the MonoLR COllection.