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---
license: cc-by-nc-4.0
---
# Processed-Data
This [repository](https://github.com/SignDiff) stores the preprocessed data for paper:
<br>[SignDiff: Learning Diffusion Models for American Sign Language Production](https://arxiv.org/abs/2308.16082)
**Note:** We're going to start a company, and the code is not going to be public.
## How2Sign for ASLP
After preprocessing [How2Sign](https://how2sign.github.io/) dataset, the condensed data set obtained is as follows:
- [https://huggingface.co/datasets/SignDiff/how2sign-pre.zip](https://huggingface.co/datasets/FangSen9000/SignDiff/blob/main/how2sign-pre.zip)
It can be used in the training of ASL production models.
<br>*Note: Because I later processed more data, the link above is four times the size of the one in the paper and is the result of the full How2Sign processing.*
## Phoenix-14T for GSLP
After preprocessing [Phoenix-14T](https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX-2014-T/) dataset, the condensed data set obtained is as follows:
- [https://huggingface.co/datasets/SignDiff/phoenix-pre.zip](https://huggingface.co/datasets/FangSen9000/SignDiff/blob/main/phoenix-pre.zip)
It can be used in the training of GSL production models.
## How2Sign for SignDiff
After preprocessing [How2Sign](https://how2sign.github.io/) dataset, the condensed data set obtained is as follows:
- [https://huggingface.co/datasets/SignDiff/How2Sign-Diff.zip](https://huggingface.co/datasets/FangSen9000/SignDiff/blob/main/How2Sign-Diff.zip)
It can be used for the diffusion model training of pose2video in sign language. (Based on [ControlNet](https://github.com/lllyasviel/ControlNet/blob/main/docs/train.md))
## How2Sign for Vid2Vid
After preprocessing [How2Sign](https://how2sign.github.io/) dataset, the condensed data set obtained is as follows:
- https://aistudio.baidu.com/datasetdetail/220064
It can be used for the GAN model training of pose2video in sign language. (Based on [Vid2Vid](https://github.com/NVIDIA/vid2vid))
## Tool for Data
Our pre-processing tools: the data cleansing tool at [SignDiff/tool](https://github.com/SignDiff/Processed-Data/tree/main/tools).
Stay tuned. The data above should be sufficient for the time being.
```
@misc{fang2024signllm,
title={SignLLM: Sign Languages Production Large Language Models},
author={Sen Fang and Lei Wang and Ce Zheng and Yapeng Tian and Chen Chen},
year={2024},
eprint={2405.10718},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{fang2023signdiff,
title={SignDiff: Learning Diffusion Models for American Sign Language Production},
author={Sen Fang and Chunyu Sui and Xuedong Zhang and Yapeng Tian},
year={2023},
eprint={2308.16082},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
## Related Work
- https://github.com/BenSaunders27/ProgressiveTransformersSLP
- https://github.com/lllyasviel/ControlNet
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