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Update MedQuAD relationship and files section

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  1. README.md +17 -7
README.md CHANGED
@@ -142,6 +142,7 @@ This means that the labels are suitable for academic experimentation and model c
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  | `label_map.json` | Mapping between labels and numeric class IDs. |
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  | `dataset_stats.json` | Dataset-level statistics generated during preprocessing. |
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  | `.gitattributes` | Git LFS configuration automatically used by Hugging Face/Git. |
 
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  ## Relationship to MedQuAD
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@@ -149,12 +150,18 @@ This dataset is separate from MedQuAD.
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  The SymCAT-derived dataset in this repository was used for fine-tuning triage classification models. MedQuAD was processed separately in the broader project as a retrieval corpus for contextual medical question-answer information.
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  Therefore:
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- - SymCAT-derived dataset: used for classifier fine-tuning;
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- - MedQuAD: used separately for retrieval and contextual medical information;
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  - the triage classifier is not fine-tuned on MedQuAD.
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  ## How to Load the Dataset
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  The dataset can be loaded with the Hugging Face `datasets` library:
@@ -191,15 +198,18 @@ label: consult_gp
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  The exact fields available in the CSV files are described in the **Data Fields** section.
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- ## Related Model Repositories
 
 
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- This dataset is intended to support the fine-tuning of transformer-based medical pre-triage classifiers.
 
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- Related model repository:
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- - `cristian-untaru/distilbert-medical-triage`
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- Additional model repositories for BioBERT and RoBERTa may be added separately.
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  ## Limitations
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  | `label_map.json` | Mapping between labels and numeric class IDs. |
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  | `dataset_stats.json` | Dataset-level statistics generated during preprocessing. |
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  | `.gitattributes` | Git LFS configuration automatically used by Hugging Face/Git. |
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+ | `README.md` | Dataset Card documentation. |
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  ## Relationship to MedQuAD
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  The SymCAT-derived dataset in this repository was used for fine-tuning triage classification models. MedQuAD was processed separately in the broader project as a retrieval corpus for contextual medical question-answer information.
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+ The processed MedQuAD retrieval dataset is available separately as:
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+
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+ [`cristian-untaru/medquad-retrieval-pretriage`](https://huggingface.co/datasets/cristian-untaru/medquad-retrieval-pretriage)
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+
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  Therefore:
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+ - SymCAT-derived dataset: used for training/fine-tuning triage classifiers;
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+ - MedQuAD retrieval dataset: used for contextual retrieval of medical Q&A information;
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  - the triage classifier is not fine-tuned on MedQuAD.
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+ This distinction is important because the SymCAT-derived dataset provides supervised triage labels, while MedQuAD provides medical question-answer context that can be retrieved and displayed alongside the classifier prediction.
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+
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  ## How to Load the Dataset
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  The dataset can be loaded with the Hugging Face `datasets` library:
 
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  The exact fields available in the CSV files are described in the **Data Fields** section.
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+ ## Related Dataset and Model Repositories
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+
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+ Related dataset repositories:
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+ - [`cristian-untaru/symcat-medical-triage-dataset`](https://huggingface.co/datasets/cristian-untaru/symcat-medical-triage-dataset)
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+ - [`cristian-untaru/medquad-retrieval-pretriage`](https://huggingface.co/datasets/cristian-untaru/medquad-retrieval-pretriage)
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+ Related model repositories:
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+ - [`cristian-untaru/distilbert-medical-triage`](https://huggingface.co/cristian-untaru/distilbert-medical-triage)
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+ Additional BioBERT and RoBERTa model repositories may be added separately after training and publication.
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  ## Limitations
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