metadata

dataset_info:
  features:
    - name: file
      dtype: string
    - name: user
      dtype: string
    - name: time
      dtype: string
    - name: text
      dtype: string
    - name: Cheer
      dtype: int64
    - name: Game
      dtype: int64
    - name: Broadcast
      dtype: int64
    - name: Chat
      dtype: int64
  splits:
    - name: train
      num_bytes: 10495651
      num_examples: 97661
    - name: validation
      num_bytes: 2619858
      num_examples: 24415
    - name: RemoveEmoji
      num_bytes: 12451824
      num_examples: 117045
    - name: Emoji2Desc
      num_bytes: 13218055
      num_examples: 122072
    - name: RemovePunc
      num_bytes: 12233250
      num_examples: 115651
  download_size: 15196680
  dataset_size: 51018638
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: RemoveEmoji
        path: data/RemoveEmoji-*
      - split: Emoji2Desc
        path: data/Emoji2Desc-*
      - split: RemovePunc
        path: data/RemovePunc-*
tags:
  - multi-label
  - text-classification

General Layer Dataset

This dataset contains text data for multi-label classification.

Language: zh
License: mit
Tags: ["multi-label", "text-classification"]

Dataset Description

Repository: https://huggingface.co/datasets/{hf_username}/{dataset_name}
Point of Contact: scfengv

Dataset Summary

Top Volleyball League 18th year YouTube livestream comments for every game.

Languages

The dataset is in Chinese (zh).

Dataset Structure

Data Fields

text: The text content to be classified.
Cheer: Binary label for the Cheer category.
Game: Binary label for the Game category.
Broadcast: Binary label for the Broadcast category.
Chat: Binary label for the Chat category.

from datasets import load_dataset

ds = load_dataset("scfengv/TVL-general-layer-dataset")