diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -65,7 +65,7 @@ We are an open-source community-driven project and we love to hear from you. Her
 Distilabel is a tool that can be used to **synthesize data and provide AI feedback**. Our community uses Distilabel to create amazing [datasets](https://huggingface.co/datasets?other=distilabel) and [models](https://huggingface.co/models?other=distilabel), and **we love contributions to open-source** ourselves too.
 
 - The [1M OpenHermesPreference](https://huggingface.co/datasets/argilla/OpenHermesPreferences) is a dataset of ~1 million AI preferences derived from teknium/OpenHermes-2.5. It shows how we can use Distilabel to **synthesize data on an immense scale**.
-- Our [distilabeled Intel Orca DPO dataset](https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs) and the [improved OpenHermes model](https://huggingface.co/argilla/distilabeled-OpenHermes-2.5-Mistral-7B),, show how we **improve model performance by filtering out 50%** of the original dataset through **AI feedback**.
+- Our [distilabeled Intel Orca DPO dataset](https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs) and the [improved OpenHermes model](https://huggingface.co/argilla/distilabeled-OpenHermes-2.5-Mistral-7B), show how we **improve model performance by filtering out 50%** of the original dataset through **AI feedback**.
 - The [haiku DPO data](https://github.com/davanstrien/haiku-dpo) outlines how anyone can create a **dataset for a specific task** and **the latest research papers** to improve the quality of the dataset.
 
 ## Installation
diff --git a/docs/index.md b/docs/index.md
index faa9c31484..cfc4244fa7 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -61,5 +61,5 @@ Synthesize and judge data with **latest research papers** while ensuring **flexi
 Distilabel is a tool that can be used to **synthesize data and provide AI feedback**. Our community uses Distilabel to create amazing [datasets](https://huggingface.co/datasets?other=distilabel) and [models](https://huggingface.co/models?other=distilabel), and **we love contributions to open-source** ourselves too.
 
 - The [1M OpenHermesPreference](https://huggingface.co/datasets/argilla/OpenHermesPreferences) is a dataset of ~1 million AI preferences derived from teknium/OpenHermes-2.5. It shows how we can use Distilabel to **synthesize data on an immense scale**.
-- Our [distilabeled Intel Orca DPO dataset](https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs) and the [improved OpenHermes model](https://huggingface.co/argilla/distilabeled-OpenHermes-2.5-Mistral-7B),, show how we **improve model performance by filtering out 50%** of the original dataset through **AI feedback**.
-- The [haiku DPO data](https://github.com/davanstrien/haiku-dpo) outlines how anyone can create a **dataset for a specific task** and **the latest research papers** to improve the quality of the dataset.
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+- Our [distilabeled Intel Orca DPO dataset](https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs) and the [improved OpenHermes model](https://huggingface.co/argilla/distilabeled-OpenHermes-2.5-Mistral-7B), show how we **improve model performance by filtering out 50%** of the original dataset through **AI feedback**.
+- The [haiku DPO data](https://github.com/davanstrien/haiku-dpo) outlines how anyone can create a **dataset for a specific task** and **the latest research papers** to improve the quality of the dataset.