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README.md

@@ -1,117 +1,117 @@
 ---
+license: mit
 language:
 - en
-license: mit
-task_categories:
-- image-text-to-text
-size_categories:
-- 1M<n<10M
-pretty_name: mmE5 labeled data
 tags:
 - embedding
 - multimodal
+pretty_name: mmE5 labeled data
+size_categories:
+- 1M<n<10M
 configs:
 - config_name: TAT-DQA
   data_files:
-  - split: train
-    path: TAT-DQA/TAT-DQA.parquet
+    - split: train
+      path: "TAT-DQA/TAT-DQA.parquet"
 - config_name: ArxivQA
   data_files:
-  - split: train
-    path: ArxivQA/ArxivQA.parquet
+    - split: train
+      path: "ArxivQA/ArxivQA.parquet"
 - config_name: InfoSeek_it2t
   data_files:
-  - split: train
-    path: InfoSeek_it2t/InfoSeek_it2t.parquet
+    - split: train
+      path: "InfoSeek_it2t/InfoSeek_it2t.parquet"
 - config_name: InfoSeek_it2it
   data_files:
-  - split: train
-    path: InfoSeek_it2it/InfoSeek_it2it.parquet
+    - split: train
+      path: "InfoSeek_it2it/InfoSeek_it2it.parquet"
 - config_name: ImageNet_1K
   data_files:
-  - split: train
-    path: ImageNet_1K/ImageNet_1K.parquet
+    - split: train
+      path: "ImageNet_1K/ImageNet_1K.parquet"
 - config_name: N24News
   data_files:
-  - split: train
-    path: N24News/N24News.parquet
+    - split: train
+      path: "N24News/N24News.parquet"
 - config_name: HatefulMemes
   data_files:
-  - split: train
-    path: HatefulMemes/HatefulMemes.parquet
+    - split: train
+      path: "HatefulMemes/HatefulMemes.parquet"
 - config_name: SUN397
   data_files:
-  - split: train
-    path: SUN397/SUN397.parquet
+    - split: train
+      path: "SUN397/SUN397.parquet"
 - config_name: VOC2007
   data_files:
-  - split: train
-    path: VOC2007/VOC2007.parquet
+    - split: train
+      path: "VOC2007/VOC2007.parquet"
 - config_name: InfographicsVQA
   data_files:
-  - split: train
-    path: InfographicsVQA/InfographicsVQA.parquet
+    - split: train
+      path: "InfographicsVQA/InfographicsVQA.parquet"
 - config_name: ChartQA
   data_files:
-  - split: train
-    path: ChartQA/ChartQA.parquet
+    - split: train
+      path: "ChartQA/ChartQA.parquet"
 - config_name: A-OKVQA
   data_files:
-  - split: train
-    path: A-OKVQA/A-OKVQA.parquet
+    - split: train
+      path: "A-OKVQA/A-OKVQA.parquet"
 - config_name: DocVQA
   data_files:
-  - split: train
-    path: DocVQA/DocVQA.parquet
+    - split: train
+      path: "DocVQA/DocVQA.parquet"
 - config_name: OK-VQA
   data_files:
-  - split: train
-    path: OK-VQA/OK-VQA.parquet
+    - split: train
+      path: "OK-VQA/OK-VQA.parquet"
 - config_name: Visual7W
   data_files:
-  - split: train
-    path: Visual7W/Visual7W.parquet
+    - split: train
+      path: "Visual7W/Visual7W.parquet"
 - config_name: VisDial
   data_files:
-  - split: train
-    path: VisDial/VisDial.parquet
+    - split: train
+      path: "VisDial/VisDial.parquet"
 - config_name: CIRR
   data_files:
-  - split: train
-    path: CIRR/CIRR.parquet
+    - split: train
+      path: "CIRR/CIRR.parquet"
 - config_name: NIGHTS
   data_files:
-  - split: train
-    path: NIGHTS/NIGHTS.parquet
+    - split: train
+      path: "NIGHTS/NIGHTS.parquet"
 - config_name: WebQA
   data_files:
-  - split: train
-    path: WebQA/WebQA.parquet
+    - split: train
+      path: "WebQA/WebQA.parquet"
 - config_name: VisualNews_i2t
   data_files:
-  - split: train
-    path: VisualNews_i2t/VisualNews_i2t.parquet
+    - split: train
+      path: "VisualNews_i2t/VisualNews_i2t.parquet"
 - config_name: VisualNews_t2i
   data_files:
-  - split: train
-    path: VisualNews_t2i/VisualNews_t2i.parquet
+    - split: train
+      path: "VisualNews_t2i/VisualNews_t2i.parquet"
 - config_name: MSCOCO_i2t
   data_files:
-  - split: train
-    path: MSCOCO_i2t/MSCOCO_i2t.parquet
+    - split: train
+      path: "MSCOCO_i2t/MSCOCO_i2t.parquet"
 - config_name: MSCOCO_t2i
   data_files:
-  - split: train
-    path: MSCOCO_t2i/MSCOCO_t2i.parquet
+    - split: train
+      path: "MSCOCO_t2i/MSCOCO_t2i.parquet"
 - config_name: MSCOCO
   data_files:
-  - split: train
-    path: MSCOCO/MSCOCO.parquet
+    - split: train
+      path: "MSCOCO/MSCOCO.parquet"
 ---
-
 # mmE5 Labeled Data
 
-This dataset contains datasets used for the supervised finetuning of mmE5 ([mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data](https://huggingface.co/papers/2502.08468)):
+
+
+
+This dataset contains datasets used for the supervised finetuning of mmE5 ([mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data](https://arxiv.org/abs/2502.08468)):
 - **MMEB** (with hard negative)
 - **InfoSeek** (from M-BEIR)
 - **TAT-DQA**
@@ -125,27 +125,13 @@ First, you should prepare the images used for training:
 
 ### Image Downloads
 
-- **Download Links**: Download image resources for each dataset via the following links:
-  - [**MMEB**](https://huggingface.co/datasets/TIGER-Lab/MMEB-train)
-  - [**InfoSeek**](https://huggingface.co/datasets/TIGER-Lab/M-BEIR)
-  - [**ArxivQA**](https://huggingface.co/datasets/MMInstruction/ArxivQA)
-  - [**TAT-DQA**](https://huggingface.co/datasets/vidore/tatdqa_train)
-
-For TAT-DQA, you need to first save images into the overall image folder to align usage:
+- **Download All Images Used in mmE5**:
 
-```
-dataset = load_dataset(
-    "vidore/tatdqa_train",
-    split="train"
-)
-image_out_dir = "images/TAT-DQA"
-os.makedirs(image_out_dir, exist_ok=True)
-for i, sample in enumerate(dataset):
-  save_path = os.path.join(image_out_dir, f"tatdqa_{i}.png")
-  if os.path.exists(save_path):
-    continue
-  image = sample["image"]
-  image.save(save_path, format="PNG")
+You can use the script provided in our [source code](https://github.com/haon-chen/mmE5) to download all images used in mmE5.
+```bash
+git clone https://github.com/haon-chen/mmE5
+cd mmE5
+bash scripts/prepare_images.sh
 ```
 
 ### Image Organization