Understanding the construction of this dataset is essential to replicating the results and ensuring the validity of the model

Oct 13, 2025 by recoveryshake.com 81 views

Introduction

As a researcher interested in the HealMe project, I have been studying the datasets used in this project to better understand the Cognitive Reframing process. However, I have encountered some issues with the datasets that I would like to bring to your attention. In this article, I will discuss the construction and usage of the datasets in the HealMe project, specifically the HealMe-main/src/train/scripts/converted_data/5_1_2_finetune_raw_data.json and HealMe-main/data/train/train.csv datasets.

Dataset Construction: 5_1_2_finetune_raw_data.json

The 5_1_2_finetune_raw_data.json dataset is a crucial component of the HealMe project, as it contains the raw data used for training and testing the model. However, I was unable to find any information on how this dataset was constructed. Understanding the construction of this dataset is essential to replicating the results and ensuring the validity of the model.

Upon further investigation, I noticed that the same "input" generates three different "outputs" in this dataset. This raises several questions:

Why does the same input generate multiple outputs? Is this a result of the data preprocessing or the model architecture?
How are the outputs related to each other? Are they different perspectives on the same issue or separate responses to different questions?

Dataset Construction: train.csv

The train.csv dataset is another important component of the HealMe project, as it contains the training data used to fine-tune the model. However, I was unable to find any information on how this dataset was used in the project. Understanding the usage of this dataset is essential to ensuring the model's performance and generalizability.

Upon further investigation, I noticed that the train.csv dataset is generated from dialogues between two models. However, I couldn't find any information on how this dataset was used in the HealMe project. Shouldn't this dataset be used for fine-tuning the model?

Cognitive Reframing Process

The Cognitive Reframing process is a crucial component of the HealMe project, as it aims to help individuals reframe their negative thoughts and emotions. However, I was concerned to find that the samples in the 5_1_2_finetune_raw_data.json dataset seem to be single-turn dialogues, which don't align with the Cognitive Reframing process described in the paper. Shouldn't the Cognitive Reframing process include "Separate situation", "brainstorm", and "final reply"?

Conclusion

In conclusion, I would like to highlight the importance of clarifying the construction and usage of the datasets in the HealMe project. Understanding the construction and usage of these datasets is essential to replicating the results and ensuring the validity of the model. I hope that this article will serve as a starting point for further discussion and clarification on these issues.

Recommendations

Based on my analysis, I would like to make the following recommendations:

Provide a detailed explanation of the construction of the 5_1_2_finetune_raw_data.json dataset, including the data preprocessing and model architecture used.
Provide a detailed explanation of the usage of the train.csv dataset, including how it was used in the HealMe project.
Ensure that the Cognitive Reframing process is accurately represented in the datasets, including the inclusion of "Separate situation", "brainstorm", and "final reply" in the single-turn dialogues.

Introduction

In our previous article, we discussed the issues with the datasets used in the HealMe project. We highlighted the importance of clarifying the construction and usage of these datasets to ensure the validity of the model. In this article, we will provide a Q&A section to address some of the questions and concerns raised by the HealMe project.

Q&A

Q: How was the 5_1_2_finetune_raw_data.json dataset constructed?

A: Unfortunately, we were unable to find any information on how the 5_1_2_finetune_raw_data.json dataset was constructed. However, we recommend that the authors provide a detailed explanation of the data preprocessing and model architecture used to create this dataset.

Q: Why does the same input generate multiple outputs in the 5_1_2_finetune_raw_data.json dataset?

A: This is a good question, and we are not sure why the same input generates multiple outputs. It is possible that this is a result of the data preprocessing or the model architecture. We recommend that the authors provide more information on how the outputs are related to each other.

Q: How was the train.csv dataset used in the HealMe project?

A: Unfortunately, we were unable to find any information on how the train.csv dataset was used in the HealMe project. However, we recommend that the authors provide a detailed explanation of how this dataset was used to fine-tune the model.

Q: Shouldn't the Cognitive Reframing process include "Separate situation", "brainstorm", and "final reply"?

A: Yes, that's correct. The Cognitive Reframing process should include "Separate situation", "brainstorm", and "final reply". However, we noticed that the samples in the 5_1_2_finetune_raw_data.json dataset seem to be single-turn dialogues, which don't align with the Cognitive Reframing process described in the paper.

Q: What is the purpose of the train.csv dataset?

A: The train.csv dataset is generated from dialogues between two models. However, we are not sure why this dataset was created or how it was used in the HealMe project. We recommend that the authors provide more information on the purpose and usage of this dataset.

Q: How can we replicate the results of the HealMe project?

A: Unfortunately, we were unable to find any information on how to replicate the results of the HealMe project. However, we recommend that the authors provide a detailed explanation of the construction and usage of the datasets used in the project, including the data preprocessing and model architecture.

Q: What are the implications of the issues with the datasets used in the HealMe project?

A: The issues with the datasets used in the HealMe project may have implications for the validity and reliability of the model. We recommend that the authors address these issues and provide more information on the construction and usage of the datasets used in the project.

Conclusion

In conclusion, we hope that this Q&A section has provided more information on the issues with the datasets used in the HealMe project. We recommend that the authors address these issues and provide more information on the construction and usage of the datasets used in the project.