Update README.md

README.md

@@ -6,11 +6,11 @@ colorTo: yellow
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-# CoNTEB: XXXXX 👀
+# ConTEB: Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings
 
 [![arXiv](https://img.shields.io/badge/arXiv-2407.01449-b31b1b.svg?style=for-the-badge)](https://arxiv.org/abs/XXX)
 
-<img src="https://cdn-uploads.huggingface.co/production/uploads/60f2e021adf471cbdf8bb660/T3z7_Biq3oW6b8I9ZwpIa.png" width="800">
+<img src="https://cdn-uploads.huggingface.co/production/uploads/60f2e021adf471cbdf8bb660/jq_zYRy23bOZ9qey3VY4v.png" width="800">
 
 This organization contains all artifacts released with our preprint [*Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings *](https://arxiv.org/abs/XXX),
 including the [ConTEB](https://huggingface.co/collections/illuin-conteb/conteb-datasets-6839fffd25f1d3685f3ad604) benchmark.
@@ -29,7 +29,7 @@ We open-source all artifacts here and at https://github.com/illuin-tech/contextu
 
 ## Benchmark
 
-- [*Leaderboard*]TODO
+- [*Leaderboard*](TODO)
 - 
 ## Datasets
 
@@ -42,8 +42,8 @@ We organized datasets into collections to constitute our benchmark ViDoRe and it
 
 CHANGE
 
-- [*ColPali Engine*](https://github.com/illuin-tech/colpali): The code used to train and run inference with the ColPali architecture.
-- [*ViDoRe Benchmark*](https://github.com/illuin-tech/vidore-benchmark): A Python package/CLI tool to evaluate document retrieval systems on the ViDoRe benchmark.
+- [*Contextual Document Engine*](https://github.com/illuin-tech/contextual-document-embeddings): The code used to train and run inference with our architecture.
+- [*ConTEB Benchmarkk*](https://github.com/illuin-tech/conteb-benchmark): A Python package/CLI tool to evaluate document retrieval systems on the ViDoRe benchmark.
 
 ## Extra