Hugging Face's logo

Datasets:
XuehangCang
/
jianke

Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
Chinese
Size:
10K - 100K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
1
jianke / README.md
XuehangCang's picture
XuehangCang
Update README.md
e1df6fd verified
preview code
|
raw
history blame contribute delete
2.48 kB
metadata
dataset_info:
  features:
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 10047944
      num_examples: 44294
  download_size: 6931982
  dataset_size: 10047944
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
task_categories:
  - text-generation
language:
  - zh
size_categories:
  - 10K<n<100K

JianKe

Dataset Overview

This dataset is designed for text generation tasks in Chinese and is available in a single configuration named "default". The dataset is relatively sizable, falling within the 10K to 100K examples category. It is well-suited for various text generation applications including language modeling, dialog systems, and more.

Features

  • text: The primary feature of the dataset, which contains Chinese text strings. The data type is string.

Dataset Splits

  • Train: The dataset includes a training split consisting of 44,294 examples with a total size of approximately 10,047,944 bytes.

Dataset Size

  • Download Size: The compressed dataset has a download size of approximately 6,931,982 bytes.
  • Dataset Size: The total size of the uncompressed dataset amounts to 10,047,944 bytes.

Licensing

This dataset is distributed under the MIT License, making it free to use, modify, and distribute with proper attribution.

Task Categories

The primary task category for this dataset is text generation. It can be used to train models capable of generating coherent and contextually relevant Chinese text.

Language

The dataset is in Chinese (zh), making it especially useful for applications targeting Chinese-speaking audiences or for research in natural language processing for Chinese text.

How to Use

To load this dataset, you can use the Hugging Face Datasets library. Below is an example of how to load the dataset in Python:

from datasets import load_dataset

dataset = load_dataset('XuehangCang/jianke', split='train')

Please replace 'your_username/dataset_name' with the actual path to your dataset on the Hugging Face Hub.

Additional Information

  • Configs: The dataset is available with one default configuration.
  • Data Files: The training data is available in segments with paths like data/train-*.

This dataset card provides a compact summary of the key information needed to work with the dataset effectively. For further details and to access the dataset, please refer to the Hugging Face Hub.