AdapterOcean/med_alpaca_standardized_cluster_20

---
dataset_info:
features:
- name: text
dtype: string
- name: conversation_id
dtype: int64
- name: embedding
sequence: float64
- name: cluster
dtype: int64
splits:
- name: train
num_bytes: 71900501
num_examples: 7394
download_size: 20801568
dataset_size: 71900501
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "med_alpaca_standardized_cluster_20"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

This dataset includes four features: text, conversation_id, embedding, and cluster. The dataset is split into a training set (train) with 7394 examples. The download size of the dataset is 20801568 bytes, and the actual size is 71900501 bytes. The dataset configuration is default, with training data files located at data/train-* path.

原始信息汇总

数据集概述

数据集信息

特征

• text: 字符串类型
• conversation_id: 64位整数类型
• embedding: 64位浮点数序列
• cluster: 64位整数类型

数据分割

• train:
  • 字节数: 71900501
  • 样本数: 7394

数据大小

• 下载大小: 20801568
• 数据集大小: 71900501

配置

• default:
  • 数据文件:
    • 分割: train
    • 路径: data/train-*