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---
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")
``` |