Upload CSV files and text_images archives

K_STR_Bench/GIST_Signboard/text_images.tar

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+size 831595008

K_STR_Bench/KAIST_Corrected/text_images.tar

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README.md

@@ -33,9 +33,9 @@ Atomic multi-tag annotations for **K-STR-Bench** and **Union14M**. One text crop
 
 Myounghun Han, Jin-Hyuk Hong · WACV 2027
 
-[![Paper](https://img.shields.io/badge/Paper-WACV%202027-blue)](#citation) [![Dataset](https://img.shields.io/badge/Dataset-Hugging%20Face-yellow)](https://huggingface.co/datasets/hoonisone/AtomicTags) [![GitHub](https://img.shields.io/badge/GitHub-AtomicTags-black)](https://github.com/hoonisone/AtomicTags)
+[![Paper](https://img.shields.io/badge/Paper-WACV%202027-blue)](#citation) [![Dataset](https://img.shields.io/badge/Dataset-Hugging%20Face-yellow)](https://huggingface.co/datasets/hoonisone/AtomicTags)
 
-Accepted to **WACV 2027**. The proceedings link is not available yet. This release is [hoonisone/AtomicTags](https://huggingface.co/datasets/hoonisone/AtomicTags). Code and documentation are on [GitHub](https://github.com/hoonisone/AtomicTags).
+Accepted to **WACV 2027**. The proceedings link is not available yet. This release is [hoonisone/AtomicTags](https://huggingface.co/datasets/hoonisone/AtomicTags).
 
 ## Data Sources
 
@@ -43,19 +43,53 @@ Accepted to **WACV 2027**. The proceedings link is not available yet. This relea
 
 **Union14M.** A scene text recognition dataset collected from 14 public datasets (Jiang et al., ICCV 2023). [GitHub](https://github.com/Mountchicken/Union14M). Union14M-L and Union14M-Benchmark are released from that repository. The splits here are `Union14M_Benchmark` and `Union14M_General`. Each CSV and its image folder already contain only the crops in this release. Tag columns in these tables are separate from the original Union14M annotations.
 
+Image folders are stored as `text_images.tar`. The CSV files stay beside those archives. Extracting an archive recreates a `text_images` folder next to it. This release does not include the inclusive and exclusive label files.
+
 ```text
 K_STR_Bench/
 ├── text.v1.0.csv
-├── GIST_Signboard/text_images/
-└── KAIST_Corrected/text_images/
+├── GIST_Signboard/text_images.tar
+└── KAIST_Corrected/text_images.tar
 Union14M_Benchmark/
 ├── text.v1.0.csv
-└── text_images/
+└── text_images.tar
 Union14M_General/
 ├── text_v.1.0.csv
-└── text_images/
+└── text_images.tar
 ```
 
+## How to use
+
+Download this dataset, then extract each `text_images.tar`. The CSV files are already unpacked. `image_path` is relative to the folder that contains the CSV. Create the inclusive and exclusive label files from the CSV with the code on [GitHub](https://github.com/hoonisone/AtomicTags).
+
+```bash
+git clone https://github.com/hoonisone/AtomicTags.git
+cd AtomicTags
+pip install -U huggingface_hub
+hf download hoonisone/AtomicTags --repo-type dataset --local-dir data
+tar -xf data/K_STR_Bench/GIST_Signboard/text_images.tar -C data/K_STR_Bench/GIST_Signboard
+tar -xf data/K_STR_Bench/KAIST_Corrected/text_images.tar -C data/K_STR_Bench/KAIST_Corrected
+tar -xf data/Union14M_Benchmark/text_images.tar -C data/Union14M_Benchmark
+tar -xf data/Union14M_General/text_images.tar -C data/Union14M_General
+python prepare.py --dataset-dir data --pipeline make_tag_labels
+```
+
+`labels/inclusive/stylized.txt`
+
+```text
+0/gist_7_4.jpg	이글
+0/gist_7_5.jpg	피플
+```
+
+`labels/inclusive/stylized.jsonl`
+
+```json
+{"filename":"0/gist_7_4.jpg","text":"이글","width":87,"height":74}
+{"filename":"0/gist_7_5.jpg","text":"피플","width":104,"height":202}
+```
+
+`labels/exclusive/stylized.txt` and `labels/exclusive/stylized.jsonl` use the same two formats.
+
 ## License
 
 Source code is under the MIT License. That license does not cover the images or the annotations.

Union14M_Benchmark/text_images.tar

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Union14M_General/text_images.tar

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