bsc-lt
Datasets
All datasets matching “bsc-lt”multi_lmentry
Multi-LMentry
This dataset card provides documentation for Multi-LMentry, a multilingual benchmark designed for evaluating large language models (LLMs) on fundamental, elementary-level tasks across nine languages. It is the official dataset release accompanying the EMNLP 2025 paper "Multi-LMentry: Can Multilingual LLMs Solve Elementary Tasks Across Languages?".
Dataset Details
Dataset Description
Multi-LMentry is a multilingual extension of LMentry (Efrat et… See the full description on the dataset page: https://huggingface.co/datasets/BSC-LT/multi_lmentry.open_data_26B_tokens_balanced_es_caThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.BSC_ParaMT_8
Dataset Card for BSC_ParaMT_8
Dataset Summary
Large-scale multilingual parallel corpus covering Catalan, Spanish, and English paired with Arabic, Hindi, Chinese, Japanese, and Korean. Built by aggregating and carefully filtering multiple public sources, it provides sentence-level alignments for training Machine Translation systems. The Spanish portion of the dataset includes synthetic data generated by translating original English sentences into Spanish. Similarly… See the full description on the dataset page: https://huggingface.co/datasets/BSC-LT/BSC_ParaMT_8.EsBBQ
Spanish Bias Benchmark for Question Answering (EsBBQ)
The Spanish Bias Benchmark for Question Answering (EsBBQ) is an adaptation of the original BBQ to the Spanish language and the social context of Spain.
Dataset Description
This dataset is used to evaluate social bias in LLMs in a multiple-choice Question Answering (QA) setting and along 10 social categories: Age, Disability Status, Gender, LGBTQIA, Nationality, Physical Appearance, Race/Ethnicity, Religion… See the full description on the dataset page: https://huggingface.co/datasets/BSC-LT/EsBBQ.m-personas
mPersonas: Multilingual Persona‑Driven Conversational Dataset
Dataset Summary
mPersonas is a multilingual open-source dataset with high-quality persona descriptions synthetically generated by DeepSeek-V3–0324. It follows a persona-driven data synthesis methodology, similar to PersonaHub.
Instances: 510,000
Total tokens: 173M
28M in personas
145M in conversations (105M in assistant turns)
Languages: 15
License: Apache 2.0
Methodology
This section… See the full description on the dataset page: https://huggingface.co/datasets/BSC-LT/m-personas.CaBBQ
Catalan Bias Benchmark for Question Answering (CaBBQ)
The Catalan Bias Benchmark for Question Answering (CaBBQ) is an adaptation of the original BBQ to the Catalan language and the social context of Spain.
Dataset Description
This dataset is used to evaluate social bias in LLMs in a multiple-choice Question Answering (QA) setting and along 10 social categories: Age, Disability Status, Gender, LGBTQIA, Nationality, Physical Appearance, Race/Ethnicity, Religion… See the full description on the dataset page: https://huggingface.co/datasets/BSC-LT/CaBBQ.