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YFCC15M
- huggingface.co
Updated Sep 25, 2024
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EmailClick to copy linkLink copiedCiteYang (2024). YFCC15M [Dataset]. https://huggingface.co/datasets/Kaichengalex/YFCC15MCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedSep 25, 2024AuthorsYangDescriptionYFCC15M Recaption Dataset
This YFCC15M Dataset is filtered by DeCLIP and recaptioned utilize the diverse description generation framework proposed in RWKV-CLIP. The text is a list of text tokens with a length of 77, encoded using the CLIP tokenizer. You can use from clip.simple_tokenizer import SimpleTokenizer as _Tokenizer to decode it back into the original text.
Using DatasetYou can easily download and use the arxiver dataset with Hugging Face's datasets library.… See the full description on the dataset page: https://huggingface.co/datasets/Kaichengalex/YFCC15M.
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YFCC15M-V1 - Dataset - LDM
- service.tib.eu
Updated Dec 2, 2024+ more versions - h
Vietnamese-yfcc15m-OpenAICLIP
- huggingface.co
Updated Jan 27, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFifth Civil Defender - 5CD (2025). Vietnamese-yfcc15m-OpenAICLIP [Dataset]. https://huggingface.co/datasets/5CD-AI/Vietnamese-yfcc15m-OpenAICLIPCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJan 27, 2025Dataset authored and provided byFifth Civil Defender - 5CDDescription5CD-AI/Vietnamese-yfcc15m-OpenAICLIP dataset hosted on Hugging Face and contributed by the HF Datasets community
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FLAME-ReCap-YFCC15M-MiniCPM-Llama3-V-2_5
- huggingface.co
Updated Mar 10, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAnjia Cao (2025). FLAME-ReCap-YFCC15M-MiniCPM-Llama3-V-2_5 [Dataset]. https://huggingface.co/datasets/caj/FLAME-ReCap-YFCC15M-MiniCPM-Llama3-V-2_5CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 10, 2025AuthorsAnjia CaoLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionDataset description
Recaptioned YFCC15M by MiniCPM-Llama3-V-2_5.
UsesSee https://github.com/MIV-XJTU/FLAME.
Citation@article{cao2024flame, title={FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training}, author={Cao, Anjia and Wei, Xing and Ma, Zhiheng}, journal={arXiv preprint arXiv:2411.11927}, year={2024} }
@article{yao2024minicpmv, title={MiniCPM-V: A GPT-4V Level MLLM on Your Phone}, author={Yao, Yuan… See the full description on the dataset page: https://huggingface.co/datasets/caj/FLAME-ReCap-YFCC15M-MiniCPM-Llama3-V-2_5.
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cc15m_yfcc15m
- huggingface.co
ShareFacebookTwitterEmailClick to copy linkLink copiedCiteYX C, cc15m_yfcc15m [Dataset]. https://huggingface.co/datasets/yxchng/cc15m_yfcc15mCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.AuthorsYX CDescriptionyxchng/cc15m_yfcc15m dataset hosted on Hugging Face and contributed by the HF Datasets community
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FacebookTwitterEmailYFCC15M Recaption Dataset
This YFCC15M Dataset is filtered by DeCLIP and recaptioned utilize the diverse description generation framework proposed in RWKV-CLIP. The text is a list of text tokens with a length of 77, encoded using the CLIP tokenizer. You can use from clip.simple_tokenizer import SimpleTokenizer as _Tokenizer to decode it back into the original text.
Using Dataset
You can easily download and use the arxiver dataset with Hugging Face's datasets library.… See the full description on the dataset page: https://huggingface.co/datasets/Kaichengalex/YFCC15M.