README.md

metadata

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 dataset converted to the 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.

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How to use (Automatically, using Dialog.from_huggingface())

Simply use the Dialog.from_huggingface() as in the following example:

from sdialog import Dialog

primock57_dialogs = Dialog.from_huggingface("sdialog/Primock-57")

print("Number of dialogs:", len(primock57_dialogs))

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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"):

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:

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:

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)