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iamnguyen/edu_child_01

The dataset is primarily intended for text analysis and processing, containing text content, metadata, and vector information. The metadata records in detail the answer to a question, identifier, prefix, the question itself, school ID, sequence number, source, tokenized question, URL, and vector data. The dataset is suitable for training models for text understanding and related tasks.

Updated 12/18/2023
hugging_face

Description

Dataset Overview

Dataset Features

  • content: Data type is string.
  • metadata: Structured data containing the following fields:
    • answer: Data type is string.
    • id: Data type is string.
    • prefix: Data type is string.
    • question: Data type is string.
    • school_id: Data type is string.
    • seq_num: Data type is integer (int64).
    • source: Data type is string.
    • tokenized_question: Data type is string.
    • url: Data type is string.
    • vector: Data type is a sequence of floats (float64).
  • vector: Data type is a sequence of floats (float64).

Dataset Split

  • train: Contains 1,015 samples, occupying 18,574,718 bytes.

Dataset Size

  • Download size: 12,148,966 bytes.
  • Dataset size: 18,574,718 bytes.

Configuration

  • default: Includes training data files, located at data/train-*.

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Topics

Education
Question Answering Systems

Source

Organization: hugging_face

Created: Unknown

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