Update README.md

README.md

@@ -20,4 +20,59 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: other
+task_categories:
+- visual-question-answering
+- question-answering
+language:
+- hi
+- en
+tags:
+- VLM
+pretty_name: hindi-vqa
+size_categories:
+- 100K<n<1M
 ---
+
+# LLaVA Visual Instruct CC3M 595K Pretrain Dataset Card
+
+## Dataset details
+
+**Dataset type:**
+LLaVA Visual Instruct CC3M Pretrain 595K is a subset of CC-3M dataset, filtered with a more balanced concept coverage distribution.
+Captions are also associated with [BLIP synthetic caption](https://github.com/salesforce/BLIP#pre-training-datasets-download) for reference.
+It is constructed for the pretraining stage for feature alignment in visual instruction tuning.
+We aim to build large multimodal towards GPT-4 vision/language capability.
+
+**Dataset date:**
+LLaVA Visual Instruct CC3M Pretrain 595K was created in April 2023.
+
+**Dataset structure:**
+- `chat.json` contains the multimodal synthesized conversation from the image-caption pairs, by adding randomly selected instructions like: "Describe this image".  It is used for pretraining in LLaVA.  We use the raw CC-3M caption as the default answer.
+- `metadata.json` contains the meta data of the image index in CC-3M, image file name, image URL, original CC-3M caption, synthetic BLIP caption.  Note that ~10% of the samples are not associated with BLIP caption yet in this release.
+- `images.zip` Can be found from here [images](https://huggingface.co/datasets/liuhaotian/LLaVA-CC3M-Pretrain-595K/blob/main/images.zip)
+  
+
+**Paper or resources for more information:**
+https://llava-vl.github.io/
+
+**License:**
+Must comply with license of [CC-3M](https://github.com/google-research-datasets/conceptual-captions/blob/master/LICENSE), [BLIP](https://github.com/salesforce/BLIP/blob/main/LICENSE.txt) (if you use their synthetic caption).
+
+CC-3M
+The dataset may be freely used for any purpose, although acknowledgement of
+Google LLC ("Google") as the data source would be appreciated. The dataset is
+provided "AS IS" without any warranty, express or implied. Google disclaims all
+liability for any damages, direct or indirect, resulting from the use of the
+dataset.
+
+
+**Where to send questions or comments about the model:**
+https://github.com/haotian-liu/LLaVA/issues
+
+## Intended use
+**Primary intended uses:**
+The primary use of LLaVA is research on large multimodal models and chatbots.
+
+**Primary intended users:**
+The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.