datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MNLP_M2_rag_datasetMNLP_M2_documents_finalMNLP_M2_documentsMNLP_M2_rag_datasetMNLP_M3_rag_documentsMNLP_M2_rag_documents
MNLP_M2_rag_documents
This is a sample set of documents for use in Retrieval-Augmented Generation (RAG) evaluation.
MNLP_M3_quantized_datasetMNLP_M2_mcqa_dataset
Dataset Card for SCP-116K
Recent Updates
We have made significant updates to the dataset, which are summarized below:
Expansion with Mathematics Data:Added over 150,000 new math-related problem-solution pairs, bringing the total number of examples to 274,166. Despite this substantial expansion, we have retained the original dataset name (SCP-116K) to maintain continuity and avoid disruption for users who have already integrated the dataset into their workflows.
Updated… See the full description on the dataset page: https://huggingface.co/datasets/asazheng/MNLP_M2_mcqa_dataset.MNLP_M3_rag_datasetMNLP_M2_rag_datasetMNLP_M2_rag_documentsMNLP_M2_rag_dataset_1MNLP_M2_rag_documentsMNLP_M3_rag_documents
MNLP_M3_rag_documents
This is a sample set of documents for use in Retrieval-Augmented Generation (RAG) evaluation.
MNLP_M3_dpo_datasetMNLP_M2_mcqa_dataMNLP_M2_rag_documentsMNLP_M3_rag_documents_1
MNLP_M3_rag_documents
This is a sample set of documents for use in Retrieval-Augmented Generation (RAG) evaluation.
MNLP_M2_quantized_dataset
MNLP_M2_quantized_dataset
Ce dataset contient des questions à choix multiples (MCQA) issues de domaines STEM, nettoyées et unifiées pour l’évaluation de modèles quantifiés.
Il est utilisé dans le cadre du projet CS-552 (Machine Learning for NLP) à l’EPFL.Le modèle Qwen3-0.6B y est évalué sous différentes méthodes de quantization (QAT, AWQ+GPTQ...).
Structure du dataset
train.jsonl : ensemble d’entraînement complet
validation.jsonl : ensemble de validation
test.jsonl :… See the full description on the dataset page: https://huggingface.co/datasets/MayeulCr/MNLP_M2_quantized_dataset.MNLP_M2_rag_wiki_datasetMNLP_M3_rag_datasetMNLP_M3_rag_documents_largeMNLP_M2_rag_datasetMNLP_M2_mcqa_datasetMNLP_M3_mcqa_datasetMNLP_M2_rag_datasetMNLP_M2_dpo_datasetMNLP_M3_mcqa_datasetMNLP_M3_rag_datasetMNLP_M2_dpo_dataset_1