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README.md
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- text-to-video
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---
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```python
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# Full (text and compressed image) prompts: ~13.4G
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from datasets import load_dataset
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df = pd.DataFrame(ds)
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```
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```python
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# Embeddings for full text prompts (~21G) and image prompts (~3.5G)
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from huggingface_hub import hf_hub_download
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hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Embedding/Eval_Image_Embedding.parquet", repo_type="dataset")
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```
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```python
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# Full uncompressed image prompts: ~1T
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hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="eval_image_prompt_tar/eval_image_prompt.tar", repo_type="dataset")
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```
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```python
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# Full videos generated by Pika: ~1T
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from huggingface_hub import hf_hub_download
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- text-to-video
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---
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# Download
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## Download the text and (compressed) image prompts with related information
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```python
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# Full (text and compressed image) prompts: ~13.4G
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from datasets import load_dataset
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df = pd.DataFrame(ds)
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```
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## Download the embeddings for text and image prompts
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```python
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# Embeddings for full text prompts (~21G) and image prompts (~3.5G)
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from huggingface_hub import hf_hub_download
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hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Embedding/Eval_Image_Embedding.parquet", repo_type="dataset")
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```
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## Download uncompressed image prompts
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```python
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# Full uncompressed image prompts: ~1T
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hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="eval_image_prompt_tar/eval_image_prompt.tar", repo_type="dataset")
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```
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## Download generated videos
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```python
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# Full videos generated by Pika: ~1T
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from huggingface_hub import hf_hub_download
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