Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
Chinese
Size:
10K - 100K
License:
File size: 2,013 Bytes
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---
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
tags:
- Qwen/QwQ-32B
size_categories:
- 10K<n<100K
---
# JianKe
## Overview
This dataset provides a collection of text data designed for use in text-generation tasks. It is particularly aligned with the capabilities of the Qwen/QwQ-32B model. Please refer to the information below for further details on its features, structure, and usage.
## Dataset Details
- **Language:** Chinese (zh)
- **Task Category:** Text Generation
- **License:** MIT
- **Tags:** Qwen/QwQ-32B
- **Size Category:** 10K < n < 100K
### Features
- **Text:** The dataset predominantly consists of a single feature named `text` with a data type of `string`.
### Dataset Structure
The dataset is organized into a single configuration named `default`, which contains one split:
- **Split Name:** `train`
- **Number of Examples:** 44,294
- **Dataset Size:** 10,047,944 bytes
- **Download Size:** 6,931,982 bytes
### Dataset Splits
- **Train Split:** Consists of 44,294 examples, stored across multiple files prefixed with `data/train-*`.
## Usage
This dataset is designed specifically for training and evaluation in text-generation applications. It can be employed in machine learning workflows that utilize models capable of processing Chinese text.
## Source and License
This dataset is available under the MIT License, allowing for flexibility in its use within both academic and commercial projects.
## Citation
When using this dataset, please ensure appropriate citation, while noting that no specific citation information is provided with this dataset.
For questions or contributions, users are encouraged to engage with the maintainers through appropriate channels or platforms.
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