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---
license: cc-by-4.0
language: en
pretty_name: Primock-57
size_categories:
- n<100
---
# Primock-57
This is a version of the [Primock-57](https://github.com/babylonhealth/primock57) dataset converted to the [`sdialog`](https://github.com/idiap/sdialog) `Dialog` JSON format.
It allows easy loading as dialog objects via `Dialog.from_file()` or `Dialog.from_huggingface`.
The dataset contains **57** simulated primary-care style consultations (doctor ↔ patient). Each dialog is stored as an individual JSON file and includes a sequence of turns labelled by speaker.
---
## How to use (Automatically, using `Dialog.from_huggingface()`)
Simply use the [`Dialog.from_huggingface()`](https://sdialog.readthedocs.io/en/latest/api/sdialog.html#sdialog.Dialog.from_huggingface) as in the following example:
```python
from sdialog import Dialog
primock57_dialogs = Dialog.from_huggingface("sdialog/Primock-57")
print("Number of dialogs:", len(primock57_dialogs))
```
---
## How to use (Manually, using `Dialog.from_file()`)
Alternatively, if you want to do it manually, you have to:
1. First, download the dataset from the Hugging Face Hub to a local directory (e.g., `"Primock-57"`):
```python
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="sdialog/Primock-57",
repo_type="dataset",
local_dir="Primock-57",
)
```
2. Then, load the dataset as `Dialog` objects:
```python
from sdialog import Dialog
primock57_dialogs = Dialog.from_file("Primock-57/")
print("Number of dialogs:", len(primock57_dialogs))
# Pretty-print the first dialog
primock57_dialogs[0].print()
```
You can also load an individual dialog by specifying its file path directly:
```python
from sdialog import Dialog
consultation01_dialog = Dialog.from_file("Primock-57/day1_consultation01_conversation.json")
consultation01_dialog.print()
```
## License
[Creative Commons Attribution 4.0 International (CC BY 4.0)](https://github.com/babylonhealth/primock57?tab=License-1-ov-file#readme)
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