datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nucleotide_transformer_downstream_tasks
Dataset Card for Dataset Name
The nucleotide_transformer_downstream_tasks dataset features the 18 downstream tasks presented in the Nucleotide Transformer paper. They consist of both binary and multi-class classification tasks that aim at providing a consistent genomics benchmark.
⚠️We note that we have revised and improved our benchmark during the peer-review process. The datasets featured in this repository are used up to this release. We highly encourage to move to the new… See the full description on the dataset page: https://huggingface.co/datasets/InstaDeepAI/nucleotide_transformer_downstream_tasks.nucleotide_transformer_downstream_tasks_revised
Dataset Card for Dataset Name
The nucleotide_transformer_downstream_tasks dataset features the 18 downstream tasks presented in the Nucleotide Transformer paper. They consist of both binary and multi-class classification tasks that aim at providing a consistent genomics benchmark.
We note that this is an updated version of this benchmark after the paper has been through peer-review. We highly encourage to move to this version in detriment of the older version.Keypoints about the… See the full description on the dataset page: https://huggingface.co/datasets/InstaDeepAI/nucleotide_transformer_downstream_tasks_revised.LLM_Description_Vocab_opt_facebook_opt_30b_downstream_tasks
Dataset Card for "LLM_Description_Vocab_opt_facebook_opt_30b_downstream_tasks"
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LLM_Description_Vocab_opt_Multimodal_Fatima_opt_175b_downstream_tasks
Dataset Card for "LLM_Description_Vocab_opt_Multimodal_Fatima_opt_175b_downstream_tasks"
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LLM_Description_Vocab_bloom_bigscience_bloom_downstream_tasks
Dataset Card for "LLM_Description_Vocab_bloom_bigscience_bloom_downstream_tasks"
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TATA-NOTATA-FineMistral-nucleotide_transformer_downstream_tasksDataset for Fine-tuning Mistral Model on Tata and No Tata Sequences
Description
This dataset is specifically curated for training the Mistral model to distinguish between 'tata' and 'no tata' sequences. It is derived and reformatted from a dataset originally created by InstaDeep, tailored to enhance the performance of natural language processing models in identifying specific patterns.
Dataset Information
Features: This dataset consists of sequences represented as strings under the… See the full description on the dataset page: https://huggingface.co/datasets/Kamka-IT/TATA-NOTATA-FineMistral-nucleotide_transformer_downstream_tasks.LLM_Description_Vocab_gpt_3_text_davinci_003_downstream_tasksOxfordPets_facebook_opt_30b_LLM_Description_opt30b_downstream_tasks_ViT_L_14
Dataset Card for "OxfordPets_facebook_opt_30b_LLM_Description_opt30b_downstream_tasks_ViT_L_14"
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OxfordPets_Multimodal_Fatima_opt_175b_LLM_Description_opt175b_downstream_tasks_ViT_L_14
Dataset Card for "OxfordPets_Multimodal_Fatima_opt_175b_LLM_Description_opt175b_downstream_tasks_ViT_L_14"
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OxfordPets_facebook_opt_350m_LLM_Description_gpt3_downstream_tasks_ViT_L_14
Dataset Card for "OxfordPets_facebook_opt_350m_LLM_Description_gpt3_downstream_tasks_ViT_L_14"
More Information needed