Salesforce
/

dialogstudio-t5-base-v1.0

@@ -76,7 +76,7 @@ If you already know T5 and Flan-T5, DialogStudio-T5 is better at many things. Wi
 We sample a small amount of dialogues from each commercial supported dataset under three categories of [DialogStudio](https://huggingface.co/datasets/Salesforce/dialogstudio), i.e., KG-Dial, TOD and Open-Domain dialogues. Additionally, we sample at most 150 examples for each non-translation task from [FLAN](https://github.com/google-research/FLAN/tree/main/flan/v2).
-Note that this model version 1.0 does not incorporate datasets utilized for training large-scale models (>=7B) like Alpaca, ShareGPT, GPT4ALL, UltraChat from OpenAI's 'GPT-3.5/4', or other datasets such as OASST1 and WizardCoder.
 <img src="https://huggingface.co/datasets/Salesforce/dialogstudio/resolve/main/DialogStudio_Stats.jpg"
 alt="drawing" width="700"/>
@@ -239,7 +239,7 @@ The information below in this section are copied and modified from Flan-T5's mod
 We sample a small amount of dialogues from each commercial supported dataset under three categories of [DialogStudio](https://huggingface.co/datasets/Salesforce/dialogstudio), i.e., KG-Dial, TOD and Open-Domain dialogues. Additionally, we sample at most 150 examples for each non-translation task from [FLAN](https://github.com/google-research/FLAN/tree/main/flan/v2).
-Note:
 Model Version 1.0 is built on small-scale pre-trained models, this version does not incorporate datasets utilized for training large-scale models (>=7B) like Alpaca, ShareGPT, GPT4ALL, UltraChat from OpenAI's 'GPT-3.5/4', or other datasets such as OASST1 and WizardCoder.  As a result, it has certain limitations in terms of writing and creative capabilities. Our initial focus is to update the model versions to enhance existing abilities. Further improvements, including expansion of other capabilities, are part of our roadmap and will be responsive to community requests.

 We sample a small amount of dialogues from each commercial supported dataset under three categories of [DialogStudio](https://huggingface.co/datasets/Salesforce/dialogstudio), i.e., KG-Dial, TOD and Open-Domain dialogues. Additionally, we sample at most 150 examples for each non-translation task from [FLAN](https://github.com/google-research/FLAN/tree/main/flan/v2).
+**Note** that this model version 1.0 does not incorporate datasets utilized for training large-scale models (>=7B) like Alpaca, ShareGPT, GPT4ALL, UltraChat from OpenAI's 'GPT-3.5/4', or other datasets such as OASST1 and WizardCoder.
 <img src="https://huggingface.co/datasets/Salesforce/dialogstudio/resolve/main/DialogStudio_Stats.jpg"
 alt="drawing" width="700"/>
 We sample a small amount of dialogues from each commercial supported dataset under three categories of [DialogStudio](https://huggingface.co/datasets/Salesforce/dialogstudio), i.e., KG-Dial, TOD and Open-Domain dialogues. Additionally, we sample at most 150 examples for each non-translation task from [FLAN](https://github.com/google-research/FLAN/tree/main/flan/v2).
+**Note:**
 Model Version 1.0 is built on small-scale pre-trained models, this version does not incorporate datasets utilized for training large-scale models (>=7B) like Alpaca, ShareGPT, GPT4ALL, UltraChat from OpenAI's 'GPT-3.5/4', or other datasets such as OASST1 and WizardCoder.  As a result, it has certain limitations in terms of writing and creative capabilities. Our initial focus is to update the model versions to enhance existing abilities. Further improvements, including expansion of other capabilities, are part of our roadmap and will be responsive to community requests.