Update README.md

README.md

@@ -15,7 +15,7 @@ tags:
 - multi
 - info-judge
 datasets:
-- HiTZ/truthful_judge
+- HiTZ/informative_judge
 base_model: google/gemma-2-9b-it
 ---
 
@@ -42,7 +42,7 @@ This model is an LLM-as-a-Judge, fine-tuned from `google/gemma-2-9b-it` to asses
 
 - **Repository (for the project and fine-tuning code):** `https://github.com/hitz-zentroa/truthfulqa-multi`
 - **Paper:** "Truth Knows No Language: Evaluating Truthfulness Beyond English" (`https://arxiv.org/abs/2502.09387`)
-- **Dataset (TruthfulQA-Multi):** `https://huggingface.co/datasets/HiTZ/truthful_judge`
+- **Dataset (TruthfulQA-Multi):** `https://huggingface.co/datasets/HiTZ/informative_judge`
 
 ## Uses
 
@@ -102,7 +102,7 @@ Refer to the project repository (`https://github.com/hitz-zentroa/truthfulqa-mul
 ### Training Data
 
 The model was fine-tuned on a dataset derived from the TruthfulQA-Multi benchmark \cite{calvo-etal-2025-truthknowsnolanguage}.
-- **Dataset Link:** `https://huggingface.co/datasets/HiTZ/truthful_judge`
+- **Dataset Link:** `https://huggingface.co/datasets/HiTZ/informative_judge`
 - **Training Data Specifics:** Trained on data for multiple languages (English, Basque, Catalan, Galician, Spanish) for info judging. This corresponds to the "MT data (all languages except English)" mentioned in the paper for Info-Judges.
 
 ### Training Procedure
@@ -194,4 +194,4 @@ This model card was generated based on information from the paper "Truth Knows N
 
 For questions about the model or the research, please contact:
 - Blanca Calvo Figueras: `[email protected]`
-- Rodrigo Agerri: `[email protected]`
+- Rodrigo Agerri: `[email protected]`