datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tripadvisor_reviewThe dataset is dervied from trip advisor reviewes for hotels.
The dataset has three sentiments namely 0:negative, 1: neutral, 2: positive.
The dataset can be used to fine tune LLM for three sentiments idenetification.
tcr_pmhc_affinityDataset Summary
The interaction between T cell receptors (TCRs) and peptide-major histocompatibility complexes (pMHCs) plays a crucial role in the recognition and activation of T cells in the immune system. TCRs are cell surface receptors found on T cells, and pMHCs are complexes formed by peptides derived from antigens bound to major histocompatibility complexes (MHCs) on the surface of antigen-presenting cells. The classification task is to predict whether a given paired TCR sequence and… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/tcr_pmhc_affinity.airline_reviewsThe dataset is derived from US airline reviews and it has three sentiments namely 0:negative, 1: neutral, 2: positive.
The dataset can be used in sentiment analysis and fine tuning LLMs.
tweets_sentimentThat is tweets dataset with three sentiments namely 0: negative, 1: neutral, 2: positive.
It is suitable for fine tuning LLM for tweets sentiment analysis.
Amazon_ReviewsThe dataset is derived from Amazon Reviews with three sentiments 0: negative, 1:neutral and 2 positive.
The dataset is balanced and training to testing is 90:10%.
The dataset can be used for Three sentiments LLM fine Tuning.
tcrouzet_blogjournal-largeAll Thierry Crouzet diary as published on his blog since 0215. Text embedding with ChatGPT text-embedding-3-large model.