---
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}](https://huggingface.co/datasets/{hf_username}/{dataset_name})
- **Point of Contact:** [scfengv](https://huggingface.co/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.

```python
from datasets import load_dataset

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