emotion-vn / README.md
librarian-bot's picture
Librarian Bot: Add language metadata for dataset
f83e3e5 verified
|
raw
history blame
1.94 kB
metadata
language:
  - vi
size_categories: n<1K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype: int64
    - name: label_text
      dtype: string
    - name: og_text
      dtype: string
  splits:
    - name: train
      num_bytes: 4354334
      num_examples: 16000
  download_size: 2284010
  dataset_size: 4354334
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif

Built with Distilabel

Dataset Card for emotion-vn

This dataset has been created with distilabel.

Dataset Summary

This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:

distilabel pipeline run --config "https://huggingface.co/datasets/BaoLocTown/emotion-vn/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/BaoLocTown/emotion-vn/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default
{
    "label": 0,
    "label_text": "sadness",
    "og_text": "i didnt feel humiliated",
    "text": "T\u00f4i kh\u00f4ng c\u1ea3m th\u1ea5y b\u1ecb s\u1ec9 nh\u1ee5c."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("BaoLocTown/emotion-vn", "default")

Or simply as it follows, since there's only one configuration and is named default:

from datasets import load_dataset

ds = load_dataset("BaoLocTown/emotion-vn")