Create README.md

README.md

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+# TextDiffuser-MARIO-10M
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6478a982256b62e219917d67/AwpHOhKWDtIDmLEr3CrsQ.png)
+
+
+## Dataset description
+MARIO-10M is a dataset containing about 10 million text images, which includes a variety of sources such as book covers, posters, and tickets. Alongside the images, the dataset also provides OCR results and caption information.
+
+## Download
+The downloading process include three steps:
+
+[1] Download all the tar files
+```bash
+for i in {0..500};
+do wget -O $i.tar.gz https://huggingface.co/datasets/JingyeChen22/TextDiffuser-MARIO-10M/resolve/main/$i.tar.gz?download=true;
+done
+```
+
+[2] Unzip the top-level directory
+```bash
+for i in {0..500};
+do tar -xvf $i.tar.gz --strip-components=5 && rm $i.tar.gz;
+done
+```
+
+[3] Unzip the second-level directory
+```bash
+for i in {0..500};
+do
+    cd $i && for file in *.tar.gz; do tar -xvf "$file" --strip-components=5 && rm $file; done;
+    cd ..;
+done
+```
+
+Finally, the directory tree should show like this:
+
+```bash
+MARIO-10M/
+│
+├── 0/
+│   ├── 00000/
+│   ├──── 000000012/
+│   ├──────── caption.txt
+│   ├──────── charseg.npy
+│   ├──────── image.jpg
+│   ├──────── info.json
+│   ├──────── ocr.txt
+...
+```
+
+
+## Citation
+
+If you find MARIO dataset useful in your research, please cite the following paper:
+
+```
+@article{chen2024textdiffuser,
+  title={Textdiffuser: Diffusion models as text painters},
+  author={Chen, Jingye and Huang, Yupan and Lv, Tengchao and Cui, Lei and Chen, Qifeng and Wei, Furu},
+  journal={Advances in Neural Information Processing Systems},
+  volume={36},
+  year={2024}
+}
+
+@article{chen2023textdiffuser,
+  title={Textdiffuser-2: Unleashing the power of language models for text rendering},
+  author={Chen, Jingye and Huang, Yupan and Lv, Tengchao and Cui, Lei and Chen, Qifeng and Wei, Furu},
+  journal={arXiv preprint arXiv:2311.16465},
+  year={2023}
+}
+```
+
+## License
+[Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct)
+
+