lumatic-ai/BongChat-v1-253k

---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 286962935
num_examples: 252622
download_size: 106463023
dataset_size: 286962935
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- question-answering
- text-generation
- text2text-generation
language:
- bn
pretty_name: BongChat
size_categories:
- 100K<n<1M
---

# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

Welcome to [LumaticAI's](https://lumaticai.com/) BongChat Dataset!

We understand the challenges of non-English language models, so we're introducing [lumatic-ai/BongLlama-1.1B-Chat-alpha-v0-dataset](https://huggingface.co/datasets/lumatic-ai/BongLlama-1.1B-Chat-alpha-v0-dataset) set of 10,000 instructions for better language understanding. It covers various categories like Generation, Open QA, Brainstorm, Chat, and more. Ideal for improving models in Bangla, it's a valuable resource for efficient instruction-based training. Unleash the potential of your models with [LumaticAI's ](https://lumaticai.com/)Bengali Chat dataset!

LumaticAI
https://lumaticai.com/

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

- **Curated by:** LumaticAI
- **Language(s) (NLP):** Bengali
- **License:** mit

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

For training LLM's or building any ML model using Conversational dataset in Instruction, Input and Response format

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

Instruction | Input | Output

## Dataset Card Authors

LumaticAI

## Dataset Card Contact

Email : [e-mail]

原始信息汇总

数据集概述

数据集描述

特征

• instruction: 字符串类型
• input: 字符串类型
• output: 字符串类型

数据分割

• train: 包含252622个样本，总大小为286962935字节

下载和数据集大小

• 下载大小: 106463023字节
• 数据集大小: 286962935字节

配置

• config_name: default
• data_files:
  • split: train
  • path: data/train-*

许可证

• license: mit

任务类别

• question-answering
• text-generation
• text2text-generation

语言

• bn

数据集名称

• pretty_name: BongChat

数据集大小类别

• 100K<n<1M

数据集用途

直接使用

适用于训练大型语言模型（LLM）或使用对话数据集（指令、输入和响应格式）构建任何机器学习模型。

数据集结构

数据字段

• Instruction
• Input
• Output

数据集卡片作者

• LumaticAI

数据集卡片联系

• Email: [e-mail]