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Education Dialogue Dataset

The Education Dialogue dataset comprises dialogues generated by Gemini Ultra, occurring between teachers and students. Teachers are prompted to teach specific topics, while students are prompted with their learning preferences. The dataset includes 40,000 training examples and 7,234 test examples, each consisting of a complete teacher‑student conversation with metadata on the topic and teacher/student preferences.

Updated 10/29/2024
github

Description

Education Dialogue Dataset

Data Description

  • Contains 40,000 training samples and 7,234 test samples.
  • Each sample is a complete teacher‑student conversation, including topic and teacher/student preference metadata.

Data Format

  • The data consist of six JSON files: five for training and one for testing.
  • Each dialogue entry includes the following fields:
    • background_info: context information containing:
      • topic: the subject the teacher needs to teach.
      • student_prefrences: the student's preferred learning mode, e.g., lecture‑style or hands‑on activity.
      • teacher_prefrences: the teacher's preferred teaching mode, e.g., lecture‑style or hands‑on activity.
      • student_reactions: the student's reaction if not taught in their preferred way, e.g., loss of interest or possible adaptation.
      • teacher_reactions: the teacher's reaction if the student is not taught in the teacher's preferred way, e.g., feeling frustrated or possible adaptation.
    • conversation: a list of exchanges between teacher and student; each turn includes a role field identifying the speaker and a text field containing the utterance.

Data Generation

  • Data were generated by prompting Gemini Ultra with the following instructions:
    • Simulate a learning scenario where ... (content omitted to preserve original prompting details).

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Topics

Education Dialogue
Dialogue Generation

Source

Organization: github

Created: 10/29/2024

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