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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01causal-lm /instructions Merged Instructions Dataset Merged Dataset for the response of instructions. texttext-generation10M<n<100M26 likes1.6k downloads3y agoHugging Face02CausalLM /Retrievatar Retrievatar Retrievatar is a multimodal dataset designed to enhance the retrieval-augmented generation capabilities of vision-language models, specifically focusing on fictional anime characters and real-world celebrities across various fields. This release represents a subset of 100,000 samples extracted from a significantly larger synthetic image-text corpus. The dataset is being open-sourced to facilitate further research into entity-centric multimodal understanding, with plans… See the full description on the dataset page: https://huggingface.co/datasets/CausalLM/Retrievatar.imageimage-text-to-text100K<n<1M75 likes989 downloads10mo agoHugging Face03causal-lm /ultrachat Dataset Card for "ultrachat" More Information needed text1M<n<10M4 likes635 downloads3y agoHugging Face04causal-lm /natural_instructions Dataset Card for "natural_instructions" More Information needed text1M<n<10M2 likes189 downloads3y agoHugging Face05CausalLM /Kingfall-Roleplay Kingfall-Roleplay Dataset Summary CausalLM/Kingfall-Roleplay is a preview subset of a larger synthetic corpus generated with Gemini Kingfall. This release contains 10K adapted samples selected for public preview and research use. It is not the full Kingfall-generated corpus, nor is it a release of the original unmodified data. Kingfall refers here to a reported confidential Gemini-family model that briefly became accessible during a limited availability window. Community… See the full description on the dataset page: https://huggingface.co/datasets/CausalLM/Kingfall-Roleplay.text10K<n<100K19 likes173 downloads4mo agoHugging Face06OALL /details_CausalLM__34b-beta Dataset Card for Evaluation run of CausalLM/34b-beta Dataset automatically created during the evaluation run of model CausalLM/34b-beta. The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_CausalLM__34b-beta.tabular100K<n<1M0 likes163 downloads2y agoHugging Face07ibivibiv /causal-lm-medium_6text1M<n<10M0 likes108 downloads2y agoHugging Face08causal-lm /cameltext1M<n<10M1 likes95 downloads3y agoHugging Face09CausalLM /GPT-4-Self-Instruct-GermanHere we share a German dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been applied. We hope that this will be helpful for fine-tuning open-source models for non-English languages, particularly German. This dataset will be updated continuously. texttext-generation10K<n<100K29 likes74 downloads2y agoHugging Face10ibivibiv /causal-lm-smaller_20text100K<n<1M0 likes74 downloads2y agoHugging Face11CausalLM /GPT-4-Self-Instruct-TurkishAs per the community's request, here we share a Turkish dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been applied. We hope that this will be helpful for fine-tuning open-source models for non-English languages, particularly Turkish. This dataset will be… See the full description on the dataset page: https://huggingface.co/datasets/CausalLM/GPT-4-Self-Instruct-Turkish.text1K<n<10K24 likes73 downloads2y agoHugging Face12ibivibiv /causal-lm-smaller_8text100K<n<1M0 likes70 downloads2y agoHugging Face13CausalLM /GPT-4-Self-Instruct-JapaneseHere we share a Japanese dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been applied. We hope that this will be helpful for fine-tuning open-source models for non-English languages, particularly Japanese. This dataset will be updated continuously. text1K<n<10K18 likes68 downloads2y agoHugging Face14causal-lm /cot_flantext10K<n<100K5 likes60 downloads3y agoHugging Face15causal-lm /oigtext1M<n<10M1 likes60 downloads3y agoHugging Face16ibivibiv /causal-lm-smaller_15text100K<n<1M0 likes57 downloads2y agoHugging Face17ibivibiv /causal-lm-medium_0text1M<n<10M1 likes57 downloads2y agoHugging Face18ibivibiv /causal-lm-smaller_32text100K<n<1M0 likes56 downloads2y agoHugging Face19causal-lm /gpt4alltext100K<n<1M3 likes53 downloads3y agoHugging Face20causal-lm /flan-muffintext1M<n<10M3 likes52 downloads3y agoHugging Face21causal-lm /share_gpttext100K<n<1M1 likes51 downloads3y agoHugging Face22ibivibiv /causal-lm-smaller_22text100K<n<1M0 likes49 downloads2y agoHugging Face23ibivibiv /causal-lm-smaller_31text100K<n<1M0 likes47 downloads2y agoHugging Face24ibivibiv /causal-lm-medium_4text1M<n<10M0 likes47 downloads2y agoHugging Face25ibivibiv /causal-lm-medium_5text1M<n<10M0 likes46 downloads2y agoHugging Face26ibivibiv /causal-lm-medium_8text1M<n<10M0 likes44 downloads2y agoHugging Face27ibivibiv /causal-lm-smaller_13text100K<n<1M0 likes43 downloads2y agoHugging Face28papasega /causal-lm_instructionstext1M<n<10M0 likes43 downloads2y agoHugging Face29causal-lm /moss Dataset Card for "moss" More Information needed text1M<n<10M1 likes42 downloads3y agoHugging Face30ibivibiv /causal-lm-medium_7text1M<n<10M0 likes41 downloads2y agoHugging Face

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