Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
English
Size:
< 1K
Tags:
medical-triage
symptom-classification
healthcare
pre-triage
symcat-derived
natural-language-processing
Update MedQuAD relationship and files section
Browse files
README.md
CHANGED
|
@@ -142,6 +142,7 @@ This means that the labels are suitable for academic experimentation and model c
|
|
| 142 |
| `label_map.json` | Mapping between labels and numeric class IDs. |
|
| 143 |
| `dataset_stats.json` | Dataset-level statistics generated during preprocessing. |
|
| 144 |
| `.gitattributes` | Git LFS configuration automatically used by Hugging Face/Git. |
|
|
|
|
| 145 |
|
| 146 |
## Relationship to MedQuAD
|
| 147 |
|
|
@@ -149,12 +150,18 @@ This dataset is separate from MedQuAD.
|
|
| 149 |
|
| 150 |
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.
|
| 151 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 152 |
Therefore:
|
| 153 |
|
| 154 |
-
- SymCAT-derived dataset: used for
|
| 155 |
-
- MedQuAD: used
|
| 156 |
- the triage classifier is not fine-tuned on MedQuAD.
|
| 157 |
|
|
|
|
|
|
|
| 158 |
## How to Load the Dataset
|
| 159 |
|
| 160 |
The dataset can be loaded with the Hugging Face `datasets` library:
|
|
@@ -191,15 +198,18 @@ label: consult_gp
|
|
| 191 |
|
| 192 |
The exact fields available in the CSV files are described in the **Data Fields** section.
|
| 193 |
|
| 194 |
-
## Related Model Repositories
|
|
|
|
|
|
|
| 195 |
|
| 196 |
-
|
|
|
|
| 197 |
|
| 198 |
-
Related model
|
| 199 |
|
| 200 |
-
- `cristian-untaru/distilbert-medical-triage`
|
| 201 |
|
| 202 |
-
Additional
|
| 203 |
|
| 204 |
## Limitations
|
| 205 |
|
|
|
|
| 142 |
| `label_map.json` | Mapping between labels and numeric class IDs. |
|
| 143 |
| `dataset_stats.json` | Dataset-level statistics generated during preprocessing. |
|
| 144 |
| `.gitattributes` | Git LFS configuration automatically used by Hugging Face/Git. |
|
| 145 |
+
| `README.md` | Dataset Card documentation. |
|
| 146 |
|
| 147 |
## Relationship to MedQuAD
|
| 148 |
|
|
|
|
| 150 |
|
| 151 |
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.
|
| 152 |
|
| 153 |
+
The processed MedQuAD retrieval dataset is available separately as:
|
| 154 |
+
|
| 155 |
+
[`cristian-untaru/medquad-retrieval-pretriage`](https://huggingface.co/datasets/cristian-untaru/medquad-retrieval-pretriage)
|
| 156 |
+
|
| 157 |
Therefore:
|
| 158 |
|
| 159 |
+
- SymCAT-derived dataset: used for training/fine-tuning triage classifiers;
|
| 160 |
+
- MedQuAD retrieval dataset: used for contextual retrieval of medical Q&A information;
|
| 161 |
- the triage classifier is not fine-tuned on MedQuAD.
|
| 162 |
|
| 163 |
+
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.
|
| 164 |
+
|
| 165 |
## How to Load the Dataset
|
| 166 |
|
| 167 |
The dataset can be loaded with the Hugging Face `datasets` library:
|
|
|
|
| 198 |
|
| 199 |
The exact fields available in the CSV files are described in the **Data Fields** section.
|
| 200 |
|
| 201 |
+
## Related Dataset and Model Repositories
|
| 202 |
+
|
| 203 |
+
Related dataset repositories:
|
| 204 |
|
| 205 |
+
- [`cristian-untaru/symcat-medical-triage-dataset`](https://huggingface.co/datasets/cristian-untaru/symcat-medical-triage-dataset)
|
| 206 |
+
- [`cristian-untaru/medquad-retrieval-pretriage`](https://huggingface.co/datasets/cristian-untaru/medquad-retrieval-pretriage)
|
| 207 |
|
| 208 |
+
Related model repositories:
|
| 209 |
|
| 210 |
+
- [`cristian-untaru/distilbert-medical-triage`](https://huggingface.co/cristian-untaru/distilbert-medical-triage)
|
| 211 |
|
| 212 |
+
Additional BioBERT and RoBERTa model repositories may be added separately after training and publication.
|
| 213 |
|
| 214 |
## Limitations
|
| 215 |
|