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+---
+language:
+- en
+license: mit
+size_categories:
+- 1M<n<10M
+task_categories:
+- text-to-image
+configs:
+- config_name: CleanTextSynth
+  data_files:
+  - split: train
+    path: CleanTextSynth/train-*
+- config_name: CoverBook
+  data_files:
+  - split: train
+    path: CoverBook/train-*
+- config_name: LongWordsSubset-A
+  data_files:
+  - split: train
+    path: LongWordsSubset-A/train-*
+- config_name: LongWordsSubset-M
+  data_files:
+  - split: train
+    path: LongWordsSubset-M/train-*
+- config_name: PPT2Details
+  data_files:
+  - split: train
+    path: PPT2Details/train-*
+- config_name: PPT2Structured
+  data_files:
+  - split: train
+    path: PPT2Structured/train-*
+- config_name: Paper2Text
+  data_files:
+  - split: train
+    path: Paper2Text/train-*
+- config_name: StyledTextSynth
+  data_files:
+  - split: train
+    path: StyledTextSynth/train-*
+- config_name: TextScenesHQ
+  data_files:
+  - split: train
+    path: TextScenesHQ/train-*
+- config_name: TextVisionBlend
+  data_files:
+  - split: train
+    path: TextVisionBlend/train-*
+dataset_info:
+- config_name: CleanTextSynth
+  features:
+  - name: image
+    dtype: image
+  - name: image_path
+    dtype: string
+  - name: annotation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 133604812540.416
+    num_examples: 1907721
+  download_size: 138418775112
+  dataset_size: 133604812540.416
+- config_name: CoverBook
+  features:
+  - name: image
+    dtype: image
+  - name: image_path
+    dtype: string
+  - name: annotation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 8961075399.568
+    num_examples: 207566
+  download_size: 9142089037
+  dataset_size: 8961075399.568
+- config_name: LongWordsSubset-A
+  features:
+  - name: image
+    dtype: image
+  - name: image_path
+    dtype: string
+  - name: annotation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 20045725466.166
+    num_examples: 259897
+  download_size: 19707636636
+  dataset_size: 20045725466.166
+- config_name: LongWordsSubset-M
+  features:
+  - name: image
+    dtype: image
+  - name: image_path
+    dtype: string
+  - name: annotation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 66957433594.44
+    num_examples: 1250428
+  download_size: 74099567659
+  dataset_size: 66957433594.44
+- config_name: PPT2Details
+  features:
+  - name: image
+    dtype: image
+  - name: image_path
+    dtype: string
+  - name: annotation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 26226098275.87
+    num_examples: 298565
+  download_size: 25513899065
+  dataset_size: 26226098275.87
+- config_name: PPT2Structured
+  features:
+  - name: image
+    dtype: image
+  - name: image_path
+    dtype: string
+  - name: annotation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 71897207190.861
+    num_examples: 96401
+  download_size: 61182676048
+  dataset_size: 71897207190.861
+- config_name: Paper2Text
+  features:
+  - name: image
+    dtype: image
+  - name: image_path
+    dtype: string
+  - name: annotation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 231020768860.128
+    num_examples: 356658
+  download_size: 224999838265
+  dataset_size: 231020768860.128
+- config_name: StyledTextSynth
+  features:
+  - name: image
+    dtype: image
+  - name: image_path
+    dtype: string
+  - name: annotation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 578001343720.47
+    num_examples: 425826
+  download_size: 596967675485
+  dataset_size: 578001343720.47
+- config_name: TextScenesHQ
+  features:
+  - name: image_path
+    dtype: string
+  - name: image
+    dtype: image
+  - name: annotation
+    dtype: string
+  - name: raw_text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 9719924619.87
+    num_examples: 48935
+  download_size: 10296042626
+  dataset_size: 9719924619.87
+- config_name: TextVisionBlend
+  features:
+  - name: image
+    dtype: image
+  - name: image_path
+    dtype: string
+  - name: annotation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 43174392465.408
+    num_examples: 546829
+  download_size: 42595172061
+  dataset_size: 43174392465.408
+---
+
+# TextAtlas5M
+
+This dataset is a training set for [TextAtlas](https://textatlas5m.github.io/).
+
+Paper: https://huggingface.co/papers/2502.07870
+
+**(All the data in this repo is uploaded :>)**
+# Dataset subsets
+
+Subsets in this dataset are CleanTextSynth, PPT2Details, PPT2Structured,LongWordsSubset-A,LongWordsSubset-M,Cover Book,Paper2Text,TextVisionBlend,StyledTextSynth and TextScenesHQ. The dataset features are as follows: 
+
+### Dataset Features
+
+* `image (img)`: The GT image.
+* `annotation (string)`: The input prompt used to generate the text.
+* `image_path (string)`: The image name.
+
+
+## CleanTextSynth
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "CleanTextSynth", split="train")
+```
+
+## PPT2Details
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "PPT2Details", split="train")
+```
+
+## PPT2Structured
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "PPT2Structured", split="train")
+```
+
+## LongWordsSubset-A
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "LongWordsSubset-A", split="train")
+```
+
+## LongWordsSubset-M
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "LongWordsSubset-M", split="train")
+```
+
+## Cover Book
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "CoverBook", split="train")
+```
+
+## Paper2Text
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "Paper2Text", split="train")
+```
+
+## TextVisionBlend
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "TextVisionBlend", split="train")
+```
+
+## StyledTextSynth
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "StyledTextSynth", split="train")
+```
+
+## TextScenesHQ
+To load the dataset
+```python
+from datasets import load_dataset
+ds = load_dataset("CSU-JPG/TextAtlas5M", "TextScenesHQ", split="train")
+```
+
+
+## Citation
+
+If you found our work useful, please consider citing:
+```
+@article{wang2025textatlas5m,
+  title={TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation},
+  author={Wang, Alex Jinpeng and Mao, Dongxing and Zhang, Jiawei and Han, Weiming and Dong, Zhuobai and Li, Linjie and Lin, Yiqi and Yang, Zhengyuan and Qin, Libo and Zhang, Fuwei and others},
+  journal={arXiv preprint arXiv:2502.07870},
+  year={2025}
+}
+```
\ No newline at end of file
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