qmsum

The dataset is used for the QMSum task and contains two features: text content and answer length. It is split into a training set with 1,257 samples and a test set with 200 samples. The test set originates from the LongBench QMSum task, while the training set comes from the original QMSum repository. No built‑in validation set is provided; it is recommended to partition a portion of the training set for validation.

Updated 9/25/2024

huggingface

Description

QMSum Dataset Overview

Dataset Information

Features

text: data type string
answer_length: data type int64

Data Splits

train: contains 1,257 samples, occupying 66,437,471 bytes
test: contains 200 samples, occupying 11,622,102 bytes

Dataset Size

Download Size: 32,972,862 bytes
Total Dataset Size: 78,059,573 bytes

Configuration

config_name: default
- data_files:
  - train: path data/train-*
  - test: path data/test-*

Additional Information

test dataset: from LongBench QMSum task
train dataset: from the original QMSum repository
validation set: none; it is recommended to carve out a portion of the training data for validation

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Topics

Text Summarization

Question Answering Systems

Source

Organization: huggingface

Created: 9/25/2024

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