Kaichengalex/YFCC15M
YFCC15M 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… See the full description on the dataset page: https://huggingface.co/datasets/Kaichengalex/YFCC15M.
| Author / organization | Kaichengalex |
|---|---|
| Downloads | 878 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 26 September 2024 |
| Last updated at source | 22 October 2024 |
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Recent changes
- 16 Oct 2026 Description: YFCC15M 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 t → YFCC15M 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 t
Changes detected by Silytics between refreshes of the source.
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