AdapterOcean/python3-standardized_cluster_9

---
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: 37727801
num_examples: 3494
download_size: 0
dataset_size: 37727801
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "python3-standardized_cluster_9"

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

The dataset includes four features: text, conversation_id, embedding, and cluster. The text feature is of string type, conversation_id and cluster are of integer type, and embedding is a sequence of float64. The dataset is split into a training set (train) with 3494 examples, totaling 37727801 bytes. The dataset configuration is named default, and the training data files are located at data/train-* path.

原始信息汇总

数据集信息

特征

• text: 数据类型为字符串。
• conversation_id: 数据类型为整数64位。
• embedding: 序列类型为浮点64位。
• cluster: 数据类型为整数64位。

数据分割

• train: 包含3494个样本，总字节数为37727801。

数据集大小

• 下载大小: 0字节
• 数据集大小: 37727801字节

配置

• default: 包含训练数据文件，路径为data/train-*。