diff --git a/docs/sections/pipeline_samples/tutorials/GenerateSentencePair.ipynb b/docs/sections/pipeline_samples/tutorials/GenerateSentencePair.ipynb index c09a0b6d2..0994c4ba4 100644 --- a/docs/sections/pipeline_samples/tutorials/GenerateSentencePair.ipynb +++ b/docs/sections/pipeline_samples/tutorials/GenerateSentencePair.ipynb @@ -91,9 +91,9 @@ "source": [ "### (optional) Deploy Argilla\n", "\n", - "You can skip this step or replace it with any other data evaluation tool, but the quality of your model will suffer from a lack of data quality, so we do recommend looking at your data. If you already have deployed Argilla, you can skip this step. Otherwise, you can quickly deploy Argilla following [this guide](https://docs.argilla.io/latest/getting_started/quickstart/). \n", + "You can skip this step or replace it with any other data evaluation tool, but the quality of your model will suffer from a lack of data quality, so we do recommend looking at your data. If you already deployed Argilla, you can skip this step. Otherwise, you can quickly deploy Argilla following [this guide](https://docs.argilla.io/latest/getting_started/quickstart/). \n", "\n", - "Along with that, you will need to install argilla as distilabel extra." + "Along with that, you will need to install Argilla as a distilabel extra." ] }, { diff --git a/docs/sections/pipeline_samples/tutorials/clean_existing_dataset.ipynb b/docs/sections/pipeline_samples/tutorials/clean_existing_dataset.ipynb index fa1bb9007..55daf6cd9 100644 --- a/docs/sections/pipeline_samples/tutorials/clean_existing_dataset.ipynb +++ b/docs/sections/pipeline_samples/tutorials/clean_existing_dataset.ipynb @@ -102,9 +102,9 @@ "source": [ "### (optional) Deploy Argilla\n", "\n", - "You can skip this step or replace it with any other data evaluation tool, but the quality of your model will suffer from a lack of data quality, so we do recommend looking at your data. If you already have deployed Argilla, you can skip this step. Otherwise, you can quickly deploy Argilla following [this guide](https://docs.argilla.io/latest/getting_started/quickstart/). \n", + "You can skip this step or replace it with any other data evaluation tool, but the quality of your model will suffer from a lack of data quality, so we do recommend looking at your data. If you already deployed Argilla, you can skip this step. Otherwise, you can quickly deploy Argilla following [this guide](https://docs.argilla.io/latest/getting_started/quickstart/). \n", "\n", - "Along with that, you will need to install argilla as distilabel extra." + "Along with that, you will need to install Argilla as a distilabel extra." ] }, { @@ -127,7 +127,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In this case, we will clean a preference dataset, so we will use the `Intel/orca_dpo_pairs` dataset from the [Hugging Face Hub](https://huggingface.co/datasets/Intel/orca_dpo_pairs)." + "In this case, we will clean a preference dataset, so we will use the [`Intel/orca_dpo_pairs`](https://huggingface.co/datasets/Intel/orca_dpo_pairs) dataset from the Hugging Face Hub." ] }, { diff --git a/docs/sections/pipeline_samples/tutorials/generate_preference_dataset.ipynb b/docs/sections/pipeline_samples/tutorials/generate_preference_dataset.ipynb index e51bb10e7..187de7420 100644 --- a/docs/sections/pipeline_samples/tutorials/generate_preference_dataset.ipynb +++ b/docs/sections/pipeline_samples/tutorials/generate_preference_dataset.ipynb @@ -97,12 +97,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n", "### (optional) Deploy Argilla\n", "\n", - "You can skip this step or replace it with any other data evaluation tool, but the quality of your model will suffer from a lack of data quality, so we do recommend looking at your data. If you already have deployed Argilla, you can skip this step. Otherwise, you can quickly deploy Argilla following [this guide](https://docs.argilla.io/latest/getting_started/quickstart/). \n", + "You can skip this step or replace it with any other data evaluation tool, but the quality of your model will suffer from a lack of data quality, so we do recommend looking at your data. If you already deployed Argilla, you can skip this step. Otherwise, you can quickly deploy Argilla following [this guide](https://docs.argilla.io/latest/getting_started/quickstart/). \n", "\n", - "Along with that, you will need to install argilla as distilabel extra." + "Along with that, you will need to install Argilla as a distilabel extra." ] }, { @@ -134,7 +133,7 @@ "source": [ "### Load the dataset\n", "\n", - "We will use as source data the `argilla/10Kprompts-mini` dataset from the [Hugging Face Hub](https://huggingface.co/datasets/argilla/10Kprompts-mini).\n", + "We will use as source data the [`argilla/10Kprompts-mini`](https://huggingface.co/datasets/argilla/10Kprompts-mini) dataset from the Hugging Face Hub.\n", "\n", "