Tevatron
/

dse-phi3-docmatix-v1

@@ -10,197 +10,19 @@ datasets:
 library_name: Tevatron
 ---
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 library_name: Tevatron
 ---
+# DSE-Phi3-Docmatix-V1.0
+DSE is a bi-encoder that encodes document screenshots into dense vectors for document retrieval.
+Document Screenshot Embedding ([DSE](https://arxiv.org/abs/2406.11251)) proposes to encode documents in their original look to avoid tedious processes and information loss during content parsing.
+Specifically, DSE regards document screenshots as a unified input format that preserves all the information in a document (e.g., text, image and layout), encoding document (PDF, Webpage, Slides) directly into dense vector for document retrieval.
+`Tevatron/dse-phi3-docmatix-v1.0` is trained with the `Tevatron/docmatix-ir` dataset, a variant of `HuggingFaceM4/Docmatix` to train PDF retriever with Vision Language Model for open-domain question answering.
+Please see the dataset page of [docmatix-ir](https://huggingface.co/datasets/Tevatron/docmatix-ir/blob/main/README.md) for how we filter out questions that is not suitable for open domain retrieval and how we conduct hard negative mining with DSE-Phi3-V1.0 to get high query bi-encoder training data.
+## How to use the model?
+### Encode Text Query
+### Encode Document Screenshot
+### Encode Document Text